The role focuses on developing machine learning methods for analyzing large-scale single-cell data ... and causal inference. • Conduct methodology and software development. • Perform data analysis ...
The role focuses on developing machine learning methods for analyzing large-scale single-cell data ... and causal inference. • Conduct methodology and software development. • Perform data analysis ...
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 ...
Postdoctoral Associate
Gainesville, FL · On-site
$61K - $65K/yr
Experience with EHR data, machine learning or deep learning, natural language processing, medical ... Familiarity with causal inference, statistical learning, clinical prediction modeling, or real ...
Postdoctoral Associate
Gainesville, FL · On-site
$61K - $65K/yr
Experience with EHR data, machine learning or deep learning, natural language processing, medical ... Familiarity with causal inference, statistical learning, clinical prediction modeling, or real ...
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 ...
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.
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.
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 ...
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 ...
The University of Florida is seeking two Postdoctoral Scholars in the Research and Evaluation ... • Causal inference, experimental/quasi-experimental design and analysis. • Missing data ...
The University of Florida is seeking two Postdoctoral Scholars in the Research and Evaluation ... • Causal inference, experimental/quasi-experimental design and analysis. • Missing data ...
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 ...
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?
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.
Is it difficult to get a causal inference machine learning postdoctoral position?
Securing a causal inference machine learning postdoctoral position can be competitive due to specialized skills required, such as expertise in statistical methods, programming (e.g., Python or R), and a strong research background. Candidates with relevant publications, strong recommendations, and experience in machine learning frameworks often have better chances, but the availability of such positions varies by institution and funding.
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:
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 Associate in AI Bioinformatics and Single Cell Multi-omics
Gainesville, FL • On-site
Full-time
Re-posted 5 days ago
University Of Florida rating
7.2
Based on 108 frontline employees who took The Breakroom Quiz
385th of 622 rated colleges and universities
Job description
Job Summary:
The University of Florida is seeking a Postdoctoral Associate in AI Bioinformatics and Single Cell Multi-omics to join Dr. Feifei Xiao's laboratory in the Department of Biostatistics. The role focuses on developing machine learning methods for analyzing large-scale single-cell data and involves methodology development, data analysis, and research presentations.
Responsibilities:
• Develop machine learning and deep learning methods for analyzing large-scale single-cell DNA-seq, RNA-seq, ATAC-seq and spatial transcriptome data.
• Develop modern statistical approaches for integration of multi-omics datasets and causal inference.
• Conduct methodology and software development.
• Perform data analysis.
• Write manuscripts.
• Present research at conferences.
• Assist with grant applications.
Qualifications:
Required:
• PhD in Biostatistics, Computer Science, Bioinformatics, Statistics, Mathematics or related field.
Preferred:
• Proficient in R/Python.
• Prior experience in genetic or genomic data analysis.
Company:
University of Florida is a public land-grant research university in Gainesville, Florida. Founded in 1853, the company is headquartered in Gainesville, USA, with a team of 10001+ employees. The company is currently Late Stage.
The University of Florida is seeking a Postdoctoral Associate in AI Bioinformatics and Single Cell Multi-omics to join Dr. Feifei Xiao's laboratory in the Department of Biostatistics. The role focuses on developing machine learning methods for analyzing large-scale single-cell data and involves methodology development, data analysis, and research presentations.
Responsibilities:
• Develop machine learning and deep learning methods for analyzing large-scale single-cell DNA-seq, RNA-seq, ATAC-seq and spatial transcriptome data.
• Develop modern statistical approaches for integration of multi-omics datasets and causal inference.
• Conduct methodology and software development.
• Perform data analysis.
• Write manuscripts.
• Present research at conferences.
• Assist with grant applications.
Qualifications:
Required:
• PhD in Biostatistics, Computer Science, Bioinformatics, Statistics, Mathematics or related field.
Preferred:
• Proficient in R/Python.
• Prior experience in genetic or genomic data analysis.
Company:
University of Florida is a public land-grant research university in Gainesville, Florida. Founded in 1853, the company is headquartered in Gainesville, USA, with a team of 10001+ employees. The company is currently Late Stage.
What University Of Florida employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About University of Florida
Sourced by ZipRecruiter
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