ZipRecruiter

Log In

1

Postdoctoral In Bayesian Deep Jobs (NOW HIRING)

MD Anderson

Postdoctoral Fellow - Biostatistics

Houston, TX · On-site +1

$64K - $76K/yr

The Postdoctoral Fellow will work under the supervision of Dr. Ying Yuan. The primary research ... Expertise or skills in the following areas are highly desirable: Bayesian statistics, and adaptive ...

MD Anderson

Postdoctoral Fellow - Biostatistics

Houston, TX · On-site +1

$64K - $76K/yr

The Postdoctoral Fellow will work under the supervision of Dr. Ying Yuan. The primary research ... Expertise or skills in the following areas are highly desirable: Bayesian statistics, and adaptive ...

MD Anderson

Postdoctoral Fellow - Biostatistics

Houston, TX · On-site +1

$64K - $76K/yr

The Postdoctoral Fellow will work under the supervision of Dr. Ying Yuan. The primary research ... Expertise or skills in the following areas are highly desirable: Bayesian statistics, and adaptive ...

Jobs for Humanity

Postdoctoral Fellows

Bloomington, IN · On-site

$42K - $58K/yr

Postdoctoral Fellow in Biostatistics and Health Data Science Specific Title Appointment Type ... The ideal individual will have a strong history in coding in R, SASS, and/or Python, Bayesian ...

Jobs for Humanity

Postdoctoral Fellows

Bloomington, IN

$45K - $61K/yr

Postdoctoral Fellow in Biostatistics and Health Data Science Specific Title Appointment Type ... The ideal individual will have a strong history in coding in R, SASS, and/or Python, Bayesian ...

The Pennsylvania State University

... Bayesian or non-Bayesian. If desired, the postdoctoral scholar may teach one course in the Department of Statistics per year, but teaching is not expected. Education and Experience A Ph.D. in ...

JF Retail Services

Data Scientist II

El Segundo, CA · On-site

Ideal Candidate: We seek a detail-oriented, solutions-focused Data Scientist with a deep ... You bring expertise in Bayesian modeling and a strong statistical foundation, approaching ambiguous ...

next page

Showing results 1-20

All JobsPostdoctoral In Bayesian Deep Jobs

Postdoctoral In Bayesian Deep information

See salary details

$25K

$59K

$83.5K

How much do postdoctoral in bayesian deep jobs pay per year?

As of Jun 7, 2026, the average yearly pay for postdoctoral in bayesian deep in the United States is $59,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $66,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by postdoctoral researchers specializing in Bayesian deep learning, and how can they be addressed?

Postdoctoral researchers in Bayesian deep learning often encounter challenges such as managing the complexity of probabilistic models, computational resource limitations, and staying updated with rapid advancements in the field. Collaborating closely with interdisciplinary teams and leveraging cloud-based computing resources can help address these hurdles. Additionally, actively participating in academic conferences and workshops is crucial for keeping abreast of new methodologies and establishing valuable professional connections.

What are the key skills and qualifications needed to thrive as a Postdoctoral Researcher in Bayesian Deep Learning, and why are they important?

To thrive as a Postdoctoral Researcher in Bayesian Deep Learning, you need a PhD in computer science, statistics, or a related field with expertise in probabilistic modeling and deep learning techniques. Proficiency in programming languages such as Python, experience with deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with Bayesian inference methods are essential. Strong analytical thinking, problem-solving abilities, and effective scientific communication set candidates apart. These skills and qualities are crucial for advancing research, publishing impactful work, and contributing to innovative solutions in the field.

What is the difference between Postdoctoral In Bayesian Deep vs Postdoctoral In Machine Learning?

AspectPostdoctoral In Bayesian DeepPostdoctoral In Machine Learning
Required CredentialsPhD in Computer Science, Data Science, or related fields; expertise in Bayesian methods and deep learningPhD in Computer Science, Data Science, or related fields; strong background in machine learning algorithms
Work EnvironmentResearch labs, academia, industry R&D teams focusing on probabilistic models and deep neural networksResearch labs, academia, industry R&D teams working on various machine learning applications
Employer & Industry UsageUniversities, tech companies, AI research institutes emphasizing Bayesian approachesUniversities, tech companies, AI research institutes focusing on broad machine learning techniques

Postdoctoral In Bayesian Deep positions focus on probabilistic models and deep learning with Bayesian methods, while Postdoctoral In Machine Learning covers a broader range of algorithms and techniques. Both roles require advanced research skills and often overlap in industry and academia, but Bayesian Deep roles emphasize probabilistic reasoning within deep neural networks.

What is a Postdoctoral Researcher in Bayesian Deep Learning?

A Postdoctoral Researcher in Bayesian Deep Learning is a scholar who has completed their PhD and is conducting advanced research in the intersection of Bayesian statistics and deep learning models. Their work often involves developing probabilistic machine learning methods that incorporate uncertainty estimation into neural networks. These researchers aim to improve the reliability, interpretability, and robustness of deep learning systems for applications in fields such as computer vision, natural language processing, and healthcare. Their roles typically include publishing research papers, collaborating with other scientists, and sometimes mentoring students.
Postdoctoral Fellow - Biostatistics

Postdoctoral Fellow - Biostatistics

MD Anderson

Houston, TX • On-site, Remote

$64K - $76K/yr

Other

Medical, Dental, Retirement, PTO

Posted yesterday

MD Anderson Cancer Center rating

8.4

Company rating: 8.4 out of 10

Based on 164 frontline employees who took The Breakroom Quiz

33rd of 869 rated healthcare providers

Job description

The Department of Biostatistics at the University of Texas MD Anderson Cancer Center has an open postdoctoral position. The Postdoctoral Fellow will work under the supervision of Dr. Ying Yuan.

The primary research focus will be on developing novel statistical methodologies and software for Bayesian adaptive clinical trial designs. The postdoctoral fellow will also actively participate in research meetings with medical collaborators to implement applications related to methodological research projects. All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.

LEARNING OBJECTIVES Learn statistical theory and its application in cancer clinical trials; obtain expertise in Bayesian adaptive designs, hierarchical models, and biomarker-based clinical trial design and analysis for precision medicine; develop strong programming and computational skills; gain interest in statistical methodology research; and acquire extensive experience in R, R Shiny, and React. ELIGIBILITY REQUIREMENTS We seek a highly motivated individual with a Ph.D. in statistics, biostatistics, or a related quantitative field

Candidates must have strong methodological training in statistics or biostatistics, and strong computer programming skills. Expertise or skills in the following areas are highly desirable: Bayesian statistics, and adaptive clinical trial design. Please send CV and information on three referees directly to yyuan@mdanderson.org

POSITION INFORMATION MD Anderson offers full-time postdoc positions with a salary ranging from $64,000 to $76,000. depending on the number of years of postgraduate experience. The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements.

This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment. It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law

http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html Apply

What MD Anderson Cancer Center employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply