Causal machine learning (e.g., double/debiased machine learning (DML), causal forests, generic ML ... inference, experimental and quasi-experimental design and analysis, and methods for handling ...
Causal machine learning (e.g., double/debiased machine learning (DML), causal forests, generic ML ... inference, experimental and quasi-experimental design and analysis, and methods for handling ...
Responsibilities : • Design, develop, and iterate on machine learning models, including causal inference, recommendation systems, clustering, and optimization models to address high-impact business ...
Responsibilities : • Design, develop, and iterate on machine learning models, including causal inference, recommendation systems, clustering, and optimization models to address high-impact business ...
You will build and refine a range of applied machine learning solutions, including causal inference models, optimization frameworks, recommendation systems, and behavioral segmentation models. This ...
You will build and refine a range of applied machine learning solutions, including causal inference models, optimization frameworks, recommendation systems, and behavioral segmentation models. This ...
Senior Data Scientist
Fort Lauderdale, FL · On-site
In this role, you'll leverage your advanced statistical analysis, modeling, causal inference ... Build statistical and machine learning models to improve content discovery and user engagement.
Senior Data Scientist
Fort Lauderdale, FL · On-site
In this role, you'll leverage your advanced statistical analysis, modeling, causal inference ... Build statistical and machine learning models to improve content discovery and user engagement.
Postdoctoral Associate in AI Bioinformatics and Single Cell Multi-omics
Gainesville, FL · On-site
$63K/yr
This position, available immediately, focuses on developing machine learning and deep learning ... and causal inference to understanding the underlying architecture and causal factors of human ...
Postdoctoral Associate in AI Bioinformatics and Single Cell Multi-omics
Gainesville, FL · On-site
$63K/yr
This position, available immediately, focuses on developing machine learning and deep learning ... and causal inference to understanding the underlying architecture and causal factors of human ...
Post Doctoral Associate in Multi-Omics
Gainesville, FL · On-site
$63K/yr
... postdoctoral associate positions, starting immediately. Dr. Liu has extensive experience in big data analytics, systems biology, probabilistic graphical models, causal inference and machine learning.
Post Doctoral Associate in Multi-Omics
Gainesville, FL · On-site
$63K/yr
... postdoctoral associate positions, starting immediately. Dr. Liu has extensive experience in big data analytics, systems biology, probabilistic graphical models, causal inference and machine learning.
The Postdoctoral Scholars will work with Dr. Wei Li on developing methods and tools for the design ... However, candidates with expertise in other areas, such as econometrics, causal inference ...
The Postdoctoral Scholars will work with Dr. Wei Li on developing methods and tools for the design ... However, candidates with expertise in other areas, such as econometrics, causal inference ...
Postdoctoral Scholar - Florida Center for Prevention Research (Full-time, OPS) (Multiple Vacancies)
Tallahassee, FL · On-site
... causal inference methods, geospatial modeling, or machine learning). * Experience with data ... postdoctoral scholar to join our team as a mentored researcher on the Applied Opioid Research ...
Postdoctoral Scholar - Florida Center for Prevention Research (Full-time, OPS) (Multiple Vacancies)
Tallahassee, FL · On-site
... causal inference methods, geospatial modeling, or machine learning). * Experience with data ... postdoctoral scholar to join our team as a mentored researcher on the Applied Opioid Research ...
This role combines applying advanced analytics and machine learning with astrong commercial ... Apply uplift modeling and causal inference techniques to distinguish actionable drivers of ...
This role combines applying advanced analytics and machine learning with astrong commercial ... Apply uplift modeling and causal inference techniques to distinguish actionable drivers of ...
This role combines applying advanced analytics and machine learning with a strong commercial ... Apply uplift modeling and causal inference techniques to distinguish actionable drivers of ...
This role combines applying advanced analytics and machine learning with a strong commercial ... Apply uplift modeling and causal inference techniques to distinguish actionable drivers of ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
Causal Inference Machine Learning Postdoctoral information
What is a Causal Inference Machine Learning Postdoctoral researcher?
A Causal Inference Machine Learning Postdoctoral researcher is a scientist who specializes in developing and applying machine learning methods to understand cause-and-effect relationships in data. They typically hold a recent PhD in statistics, computer science, economics, or a related field, and work in academic or industry research settings. Their work involves designing experiments, analyzing complex datasets, and creating models that can infer causal relationships, which are crucial for making robust predictions and informed decisions. This role often collaborates with interdisciplinary teams to apply these techniques to domains such as healthcare, social science, or economics.
What are the key skills and qualifications needed to thrive as a Causal Inference Machine Learning Postdoctoral researcher, and why are they important?
To thrive as a Causal Inference Machine Learning Postdoctoral researcher, you need a strong background in statistics, causal inference methodologies, and advanced machine learning, usually evidenced by a PhD in a relevant field. Familiarity with programming languages such as Python or R, experience using statistical software (e.g., TensorFlow, PyTorch, Stan), and knowledge of causal inference libraries are typically required. Outstanding analytical thinking, problem-solving abilities, and strong communication skills help you collaborate effectively and explain complex concepts to diverse audiences. These skills and qualifications are vital for advancing research, deriving actionable insights from data, and contributing to impactful scientific discoveries.
What are some common challenges faced by Causal Inference Machine Learning Postdoctoral researchers when integrating causal models with real-world data?
Causal Inference Machine Learning Postdoctoral researchers often encounter challenges such as dealing with unobserved confounding variables, ensuring data quality, and addressing biases inherent in observational datasets. Integrating advanced machine learning techniques with causal inference frameworks requires careful consideration of model assumptions and validation methods. Collaboration with domain experts is essential to properly interpret results and to translate findings into actionable insights, especially in interdisciplinary settings like healthcare or social sciences.
What is the difference between Causal Inference Machine Learning Postdoctoral vs Data Scientist?
| Aspect | Causal Inference Machine Learning Postdoctoral | Data Scientist |
|---|---|---|
| Required Credentials | PhD in statistics, machine learning, or related field | Bachelor's or Master's in data science, computer science, or related field |
| Work Environment | Academic research, research labs, universities | Corporate, tech companies, startups |
| Industry Usage | Research, academia, specialized industry projects | Business analytics, product development, data-driven decision making |
| Common Search/Comparison | Yes | Yes |
The main difference is that Causal Inference Machine Learning Postdoctoral roles focus on academic research and developing new methods in causal inference, often requiring a PhD. Data Scientists typically work in industry, applying existing models to solve business problems, with a focus on data analysis and visualization. While both roles involve machine learning, the postdoctoral position emphasizes research and theory, whereas data science emphasizes practical application.
What are popular job titles related to Causal Inference Machine Learning Postdoctoral jobs in Florida? For Causal Inference Machine Learning Postdoctoral jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Causal Inference Machine Learning Postdoctoral jobs in Florida look for? The top searched job categories for Causal Inference Machine Learning Postdoctoral jobs in Florida are:
- Temporary Postdoctoral Psychology
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What cities in Florida are hiring for Causal Inference Machine Learning Postdoctoral jobs? Cities in Florida with the most Causal Inference Machine Learning Postdoctoral job openings:
Postdoctoral Scholar - Research and Evaluation Methodology Program
Gainesville, FL • On-site
Full-time
Re-posted 11 days ago
University Of Florida rating
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Job description
Postdoctoral Scholar - Research and Evaluation Methodology Program
Job no: 539018
Work type: Post Doc Associate
Location: Main Campus (Gainesville, FL)
Categories: Education/Training/Instructional Design, Grant or Research Administration
Department:18070000 - ED-SHDOSE-SCHL OF HUM DEV&ORG
Classification Title:
Postdoctoral Associate
Classification Minimum Requirements:
The appointee must have received the doctorate in a field appropriate to the assigned duties and responsibilities.
Job Description:
The Research and Evaluation Methodology Program at the University of Florida invites applications for Postdoctoral Scholar positions. Postdoctoral Scholars will work with Dr. Wei Li on multiple funded projects focused on quantitative research methods development and/or the causal evaluation of educational programs.
This is a 12-month, time-limited appointment. The appointment is renewable annually for multiple years, contingent upon research needs, funding availability, and satisfactory performance. The start date is flexible, and the position may be performed either in person in Gainesville, FL, or remotely.
Expected Salary:
Commensurate with education and experience.
Required Qualifications:
Preferred:
The ideal candidate will have expertise in one or more of the following areas:
Candidates with related expertise, such as econometrics, causal inference, experimental and quasi-experimental design and analysis, and methods for handling missing data, are also encouraged to apply.
Note: This position does not require expertise in latent growth modeling or structural equation modeling (SEM), and these methods will not be used in this role. Applicants whose primary expertise is in latent growth modeling, SEM, or psychometrics may not be the best fit.
Special Instructions to Applicants:
To apply, please visit https://jobs.ufl.edu and reference requisition #539018. If you have any questions or require technical assistance, please contact Human Resources at 352-392-2477.
Applicants must submit the following materials:
Review of applications will begin immediately and will continue on a rolling basis. Applications received by March 31, 2026 will receive primary consideration. The position will remain open until filled. For inquiries or nominations, please email the Search Committee Chair, Dr. Wei Li, at wei.li@coe.ufl.edu.
This is a time-limited position.
Health Assessment Required:No
Advertised: 05 Mar 2026 Eastern Standard Time
Applications close:
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Job no: 539018
Work type: Post Doc Associate
Location: Main Campus (Gainesville, FL)
Categories: Education/Training/Instructional Design, Grant or Research Administration
Department:18070000 - ED-SHDOSE-SCHL OF HUM DEV&ORG
Classification Title:
Postdoctoral Associate
Classification Minimum Requirements:
The appointee must have received the doctorate in a field appropriate to the assigned duties and responsibilities.
Job Description:
The Research and Evaluation Methodology Program at the University of Florida invites applications for Postdoctoral Scholar positions. Postdoctoral Scholars will work with Dr. Wei Li on multiple funded projects focused on quantitative research methods development and/or the causal evaluation of educational programs.
This is a 12-month, time-limited appointment. The appointment is renewable annually for multiple years, contingent upon research needs, funding availability, and satisfactory performance. The start date is flexible, and the position may be performed either in person in Gainesville, FL, or remotely.
Expected Salary:
Commensurate with education and experience.
Required Qualifications:
- Doctoral degree in quantitative research methods, statistics, or a closely related field by the start date (or completion of all degree requirements prior to the start date).
Preferred:
The ideal candidate will have expertise in one or more of the following areas:
- Design and analysis of longitudinal studies
- Monte Carlo simulation and/or statistical software or package development (e.g., R, Stata)
- Multilevel modeling (MLM), difference-in-differences (DID), or comparative interrupted time series (CITS)
- Cleaning and managing large datasets from administrative data sources or online learning platforms
- Causal machine learning (e.g., double/debiased machine learning (DML), causal forests, generic ML)
- Learning analytics and/or education data mining
Candidates with related expertise, such as econometrics, causal inference, experimental and quasi-experimental design and analysis, and methods for handling missing data, are also encouraged to apply.
Note: This position does not require expertise in latent growth modeling or structural equation modeling (SEM), and these methods will not be used in this role. Applicants whose primary expertise is in latent growth modeling, SEM, or psychometrics may not be the best fit.
Special Instructions to Applicants:
To apply, please visit https://jobs.ufl.edu and reference requisition #539018. If you have any questions or require technical assistance, please contact Human Resources at 352-392-2477.
Applicants must submit the following materials:
- A cover letter (maximum 1.5 pages) describing how you meet the minimum requirements and highlighting the experiences and skills that align with the preferred qualifications (no need to describe all prior experiences).
- Curriculum vitae (CV).
- Contact information for three professional references (references will not be contacted until the applicant advances to a later stage of the selection process).
- One or two examples of scholarly writing (e.g., a dissertation chapter, conference paper, or peer-reviewed journal article).
Review of applications will begin immediately and will continue on a rolling basis. Applications received by March 31, 2026 will receive primary consideration. The position will remain open until filled. For inquiries or nominations, please email the Search Committee Chair, Dr. Wei Li, at wei.li@coe.ufl.edu.
This is a time-limited position.
Health Assessment Required:No
Advertised: 05 Mar 2026 Eastern Standard Time
Applications close:
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The University of Florida is one of the top ranked public universities in the United States (ranked top 5 amongst public universities in 2023 US news and world report). It is one of only a few comprehensive universities, having medical, veterinary, dental, nursing, public health, and engineering disciplines all co-localized on the same, contiguous campus to facilitate interdisciplinary collaboration. Gainesville is located in the northern region of Florida, within 1-1.5 hours of each coast, and just 1.5-2 hours to Orlando and Tampa. It is a small to medium-sized city with a low cost of living, excellent public and private schools, and southern hospitality. While Gainesville is widely recognized as the home of the Gators, it is quickly becoming known as a center for innovation and a place with a lifestyle that's comfortable for families, yet attractive for young professionals.
Industry
Colleges, universities, and professional schools
Company size
5,001 - 10,000 Employees
Headquarters location
Gainesville, FL, US
Year founded
1853