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Machine Learning Postdoc Jobs in Texas (NOW HIRING)

Tamus

Postdoctoral Research Associate

Temple, TX · On-site +1

Job Title Postdoctoral Research Associate Agency Texas A&M Agrilife Research Department Temple ... Integrate machine learning and AI approaches with process-based models to improve calibration ...

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$19.3K

$100.3K

$188.6K

How much do machine learning postdoc jobs pay per year?

As of Jun 6, 2026, the average yearly pay for machine learning postdoc in Texas is $100,252.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,007.00 and $138,071.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Machine Learning Postdoc position, and why are they important?

To thrive as a Machine Learning Postdoc, you need a deep understanding of machine learning algorithms, statistical modeling, and research methodology, typically supported by a completed PhD in a related field. Proficiency with programming languages like Python or R, experience with ML libraries (e.g., TensorFlow or PyTorch), and familiarity with large-scale datasets and cloud computing platforms are important. Strong analytical thinking, effective communication, and the ability to collaborate across multidisciplinary teams are standout soft skills in this position. These qualifications ensure innovative research contributions, successful project execution, and effective dissemination of findings in both academic and applied settings.

What is a Machine Learning Postdoc job?

A Machine Learning Postdoc is a research-focused position typically held after earning a Ph.D. in a related field. It involves conducting advanced research in machine learning, developing new algorithms, and publishing in top-tier conferences and journals. Postdocs often collaborate with faculty, industry partners, and other researchers to advance the state of the art in AI. The role may include mentoring students and contributing to grant proposals. It serves as a bridge between doctoral studies and a long-term academic or industry research career.

What are the typical responsibilities and collaborative aspects of a Machine Learning Postdoc position?

A Machine Learning Postdoc typically conducts original research, develops and tests new algorithms, and contributes to academic publications or patent applications. Daily tasks often involve data analysis, model building, and experimentation using advanced computational tools. Collaboration is key in this role, as postdocs frequently work alongside faculty, graduate students, and external industry partners to advance research objectives. Additionally, they may mentor junior researchers or students, present at conferences, and participate in grant writing or project planning. This mix of independent research and team collaboration fosters both professional growth and impactful scientific advancements.

What are the most commonly searched types of Machine Learning Postdoc jobs in Texas? The most popular types of Machine Learning Postdoc jobs in Texas are:
What are popular job titles related to Machine Learning Postdoc jobs in Texas? For Machine Learning Postdoc jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Machine Learning Postdoc jobs in Texas look for? The top searched job categories for Machine Learning Postdoc jobs in Texas are:
What cities in Texas are hiring for Machine Learning Postdoc jobs? Cities in Texas with the most Machine Learning Postdoc job openings:
Machine Learning Postdoc jobs near you
Infographic showing various Machine Learning Postdoc job openings in Texas as of May 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $100,252 per year, or $48.2 per hour.
Postdoctoral Fellow - Radiation Physics - Research

Postdoctoral Fellow - Radiation Physics - Research

MD Anderson

Houston, TX

$64K - $76K/yr

Other

Medical, Dental, Retirement, PTO

Posted 6 days ago

MD Anderson Cancer Center rating

8.4

Company rating: 8.4 out of 10

Based on 164 frontline employees who took The Breakroom Quiz

32nd of 867 rated healthcare providers

Job description

A postdoctoral fellow position is available in the Department of Radiation Physics under the mentorship of Tucker Netherton, DMP, PhD. This fellowship focuses on advancing AI and machine learning applications in radiation oncology and radiology. The candidate will work within the Radiation Planning Assistant (RPA) initiative, a global health project dedicated to developing automated contouring and treatment planning tools for cancer care.

The role involves collaborating with multidisciplinary teams to design, implement, and validate deep learning models for medical image segmentation, treatment planning, and quality assurance. In addition, the fellow will participate in NIH-funded projects and international collaborations aimed at improving patient care through innovative computational solutions. All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.

LEARNING OBJECTIVES Gain expertise in developing and validating machine learning and deep learning models for medical imaging and radiation therapy workflows. - Develop skills in high-performance computing, and software development - Develop proficiency in interdisciplinary collaboration, scientific communication, and dissemination of research through publications and conferences. - Understand ethical considerations and regulatory requirements for AI in medicine, including global health equity implications.

ELIGIBILITY REQUIREMENTS - Ph.D. in Medical Physics, Biomedical Engineering, Computer Science, Applied Mathematics, or related field. - At least 2 peer reviewed primary author publications in the last two years

- Mandatory expert level programming skills in Python and experience with deep learning frameworks (PyTorch, TensorFlow, JAX). - Familiarity with medical image analysis and radiotherapy workflows. - Excellent oral and written communication skills (English language); ability to work collaboratively in a diverse, international team.

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

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