... Bayesian methods, neural networks, etc.) Experience with marker-less video tracking and computer vision Experience with CAD design and 3D printing Familiarity with relational databases (e.g., SQL ...
... Bayesian methods, neural networks, etc.) Experience with marker-less video tracking and computer vision Experience with CAD design and 3D printing Familiarity with relational databases (e.g., SQL ...
Machine Learning Engineer
Golden Valley, MN · Hybrid
$119K - $122K/yr
... networks, decision trees, Bayesian techniques, clustering, and anomaly detection. 4) Working with cloud-based platforms (Azure or AWS), and Machine learning/Artificial Intelligence services such as ...
Machine Learning Engineer
Golden Valley, MN · Hybrid
$119K - $122K/yr
... networks, decision trees, Bayesian techniques, clustering, and anomaly detection. 4) Working with cloud-based platforms (Azure or AWS), and Machine learning/Artificial Intelligence services such as ...
Machine Learning Engineer
Golden Valley, MN · Hybrid
$119K - $122K/yr
... networks, decision trees, Bayesian techniques, clustering, and anomaly detection. 4) Working with cloud-based platforms (Azure or AWS), and Machine learning/Artificial Intelligence services such as ...
Machine Learning Engineer
Golden Valley, MN · Hybrid
$119K - $122K/yr
... networks, decision trees, Bayesian techniques, clustering, and anomaly detection. 4) Working with cloud-based platforms (Azure or AWS), and Machine learning/Artificial Intelligence services such as ...
Machine Learning Engineer
Golden Valley, MN · On-site
$119K - $122K/yr
... networks, decision trees, Bayesian techniques, clustering, and anomaly detection. 4) Working with cloud-based platforms (Azure or AWS), and Machine learning/Artificial Intelligence services such as ...
Machine Learning Engineer
Golden Valley, MN · On-site
$119K - $122K/yr
... networks, decision trees, Bayesian techniques, clustering, and anomaly detection. 4) Working with cloud-based platforms (Azure or AWS), and Machine learning/Artificial Intelligence services such as ...
Senior Data Scientist
Minneapolis, MN · On-site
Competence using advanced statistical methods such as generalized regression models, Bayesian methods, random forest, gradient boosting, neural networks, machine learning, clustering, or similar ...
Senior Data Scientist
Minneapolis, MN · On-site
Competence using advanced statistical methods such as generalized regression models, Bayesian methods, random forest, gradient boosting, neural networks, machine learning, clustering, or similar ...
Bayesian Networks information
What is the difference between Bayesian Networks vs Data Analysts?
| Aspect | Bayesian Networks | Data Analysts |
|---|---|---|
| Required Credentials | Statistics, Data Science, Computer Science degrees; certifications in probabilistic modeling | Statistics, Data Science, Business Analytics degrees; certifications in data analysis tools |
| Work Environment | Research, modeling, and algorithm development in tech or research firms | Data interpretation, reporting, and visualization across various industries |
| Industry Usage | Used for probabilistic reasoning, decision support, and machine learning | Used for data interpretation, reporting, and business insights |
Bayesian Networks focus on probabilistic modeling and decision-making algorithms, often requiring advanced statistical knowledge. Data Analysts primarily interpret and visualize data to inform business decisions. While both roles involve data, Bayesian Networks are more technical and model-driven, whereas Data Analysts focus on data interpretation and reporting.
What are Bayesian networks?
Bayesian Networks are probabilistic graphical models that represent a set of variables and their conditional dependencies using a directed acyclic graph. They are used to model uncertainty in complex systems by encoding relationships between variables and allowing for efficient inference and reasoning. These networks are widely applied in fields such as machine learning, diagnostics, decision support, and bioinformatics to help predict outcomes and understand causal relationships.
What are the key skills and qualifications needed to thrive as a Bayesian networks specialist, and why are they important?
To thrive as a Bayesian Networks Specialist, you need a strong background in statistics, probability theory, and machine learning, often supported by a degree in computer science, mathematics, or a related field. Proficiency with programming languages such as Python or R, and experience using specialized libraries like pgmpy or bnlearn, are typically required. Strong analytical thinking, problem-solving ability, and effective communication skills set standout professionals apart in this role. These competencies are crucial for designing, implementing, and interpreting Bayesian models that inform critical decision-making in complex domains.
What are some common challenges faced by professionals working with Bayesian networks in real-world projects?
Professionals working with Bayesian Networks often encounter challenges such as handling incomplete or noisy data, defining accurate conditional dependencies, and ensuring computational efficiency for large or complex networks. Collaboration with domain experts is crucial to correctly structure the network and validate assumptions. Additionally, integrating Bayesian models with existing data systems and effectively communicating probabilistic results to non-technical stakeholders are important aspects of the role.
What are popular job titles related to Bayesian Networks jobs in Minnesota? For Bayesian Networks jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Bayesian Networks jobs in Minnesota look for? The top searched job categories for Bayesian Networks jobs in Minnesota are:
What cities in Minnesota are hiring for Bayesian Networks jobs? Cities in Minnesota with the most Bayesian Networks job openings:
Post-Doctoral Associate - Noel Lab, Department of Neuroscience
Minneapolis, MN
$61K - $71K/mo
Full-time
Medical, Dental, Life
Re-posted 14 days ago
Job description
About the Job
The Noel Lab (noel-lab.org) in the Department of Neuroscience at the University of Minnesota is seeking highly motivated Postdoctoral Associates to join our team. Funded by the Simons Foundation), these positions offer an exciting opportunity to conduct cutting-edge research at the intersection of systems neuroscience and computational modeling.
Our lab is broadly interested in Bayesian inference, perception, multisensory integration, spatial navigation, sensorimotor loops, embodied cognition, and computational psychiatry. We work across levels of analysisfrom single neurons to human behaviorusing both rodent and human models. This position will focus primarily on rodent research, though exceptional candidates with expertise in human cognitive neuroscience are encouraged to apply.
Position Overview
Successful candidates will lead projects involving:
Large-scale neurophysiology (e.g., Neuropixels recordings) in awake, behaving rodents.
Computational modeling and advanced data analysis.
At least one role will be embedded within the newly launched Simons Collaboration on Ecological Neuroscience (SCENE)a multi-species, international consortium exploring ecological behaviors across rodents, bats, non-human primates, and humans (https://www.simonsfoundation.org/2025/04/24/simons-foundation-launches-collaboration-on-ecological-neuroscience/).
Collaborative Network
You will engage with a global team of scientists, including but not limited to:
Jan Zimmermann (University of Minnesota)
Mate Lengyel (Cambridge)
Daniel Wolpert (Columbia)
Cris Neill (University of Oregon)
Andreas Tolias (Stanford)
Alexander & Mackenzie Mathis (EPFL)
Constantin Rothkopf (TU Darmstadt)
Nanthia Suthana (Duke)
Opportunities for travel, data sharing, and joint publications across sites will be plentiful.
Job Responsibilities
Research (95% effort)
Design and conduct innovative experiments (e.g., neurophysiology data collection)
Build and maintain behavioral and neurophysiology rigs (head-fixed and freely-moving paradigms, including video-tracking)
Rodent surgeries
Analyze data and contribute to computational models
Draft high-quality figures, manuscripts, and grant materials
Present findings at scientific meetings
Mentoring and Instruction (5% effort)
Mentor students and foster a dynamic, collaborative lab culture.
Maintain proper documentation and keep standard operating procedures up to date.
Details
Start Date: July 1, 2025 (negotiable)
Qualifications
What We're Looking For
Required Qualifications
Ph.D. in Neuroscience, Biomedical Engineering, or a related field
Strong publication record
Interest in understanding perception and decision-making in real-world contexts
Excellent written and verbal communication skills in English
Proficiency in MATLAB and/or Python
Hands-on experience with rodent behavior and surgeries
Expertise in large-scale neurophysiology and histology
Skilled in single-cell/population data analysis (e.g., GLMs, decoding)
Preferred Qualifications
Background in machine learning or computational modeling (Bayesian methods, neural networks, etc.)
Experience with marker-less video tracking and computer vision
Experience with CAD design and 3D printing
Familiarity with relational databases (e.g., SQL)
Demonstrated success in collaborative research environments
About the Department
Neuroscience is the scientific study of the nervous system. It is an interdisciplinary science that collaborates with other fields such as chemistry, computer science, engineering, linguistics, mathematics, medicine and allied disciplines, philosophy, physics, and psychology.
The Department of Neuroscience is committed to providing excellence in research, education, and public service. The Department of Neuroscience is part of the University of Minnesota's Medical School.
Pay and Benefits
Pay Range: $61,008 - $71,532 annually; depending on education/qualifications/experience
Please visit the Benefits for Postdoctoral Candidates website for more information regarding benefit eligibility.
- Competitive wages, paid holidays, and generous time off
- Continuous learning opportunities through professional training
- Medical, dental, and pharmacy plans
- Healthcare and dependent care flexible spending accounts
- University HSA contributions
- Disability and life insurance
- Employee wellbeing program
- Financial counseling services
- Employee Assistance Program with eight sessions of counseling at no cost
How To Apply
Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will have the opportunity to complete an online application for the position and attach a cover letter and resume.
Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.
This position requires that you attach: CV (including publications) and a Cover Letter indicating:
Your preferred starting date
Your scientific interests and ambitions for the future
Dates (and time) at which you would be available for a 30 minute zoom interview.
Who may be able to provide a reference letter (letter not required at this stage).
Please contact Dr. Jean-Paul Noel Noelx071@umn.edu with any questions
This position will remain open until filled.
To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647.
Diversity
The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds.
The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu
Employment Requirements
Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.
About University of Minnesota
The University of Minnesota, Twin Cities (UMTC)
The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.
At the University of Minnesota, we are proud to be recognized by the Star Tribune as a Top Workplace for 2021, as well as by Forbes as Best Employers for Women and one of Americas Best Employers (2015, 2018, 2019, 2023), Best Employer for Diversity (2019, 2020), Best Employer for New Grads (2018, 2019), and Best Employer by State (2019, 2022).
About University of Minnesota
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Industry
Education
Company size
10,000+ Employees
Headquarters location
Minneapolis, MN, US
Year founded
1851