... machine-learning based reconstruction and analysis approaches. Integration of Neuro MRI with ... Experience in supervising graduate students and/or postdoctoral researchers is preferred.
... machine-learning based reconstruction and analysis approaches. Integration of Neuro MRI with ... Experience in supervising graduate students and/or postdoctoral researchers is preferred.
... a 2-year postdoctoral (Research Associate) position. The SLAM Lab aims to understand the ... Strong data analytic background (e.g., statistics, signal processing, machine-learning) is a major ...
... a 2-year postdoctoral (Research Associate) position. The SLAM Lab aims to understand the ... Strong data analytic background (e.g., statistics, signal processing, machine-learning) is a major ...
Develop machine learning models for disease prediction and therapeutic response. * Identify ... Mentor graduate students, postdoctoral fellows, and research staff in bioinformatics methodologies.
Develop machine learning models for disease prediction and therapeutic response. * Identify ... Mentor graduate students, postdoctoral fellows, and research staff in bioinformatics methodologies.
Develop machine learning models for disease prediction and therapeutic response. * Identify ... Mentor graduate students, postdoctoral fellows, and research staff in bioinformatics methodologies.
Develop machine learning models for disease prediction and therapeutic response. * Identify ... Mentor graduate students, postdoctoral fellows, and research staff in bioinformatics methodologies.
Develop machine learning models for disease prediction and therapeutic response. * Identify ... Mentor graduate students, postdoctoral fellows, and research staff in bioinformatics methodologies.
Develop machine learning models for disease prediction and therapeutic response. * Identify ... Mentor graduate students, postdoctoral fellows, and research staff in bioinformatics methodologies.
Develop machine learning models for disease prediction and therapeutic response. * Identify ... Mentor graduate students, postdoctoral fellows, and research staff in bioinformatics methodologies.
Develop machine learning models for disease prediction and therapeutic response. * Identify ... Mentor graduate students, postdoctoral fellows, and research staff in bioinformatics methodologies.
Develop machine learning models for disease prediction and therapeutic response. * Identify ... Mentor graduate students, postdoctoral fellows, and research staff in bioinformatics methodologies.
Develop machine learning models for disease prediction and therapeutic response. * Identify ... Mentor graduate students, postdoctoral fellows, and research staff in bioinformatics methodologies.
Develop machine learning models for disease prediction and therapeutic response. * Identify ... Mentor graduate students, postdoctoral fellows, and research staff in bioinformatics methodologies.
Develop machine learning models for disease prediction and therapeutic response. * Identify ... Mentor graduate students, postdoctoral fellows, and research staff in bioinformatics methodologies.
This data will also be integrated and analyzed by machine learning and artificial intelligence ... postdoctoral fellows. Job Duties Plans, organizes, coordinates, directs, and personally ...
This data will also be integrated and analyzed by machine learning and artificial intelligence ... postdoctoral fellows. Job Duties Plans, organizes, coordinates, directs, and personally ...
... or machine learning. Design and implementation of realtime control systems, including wind tunnel and/or filed testing. Two years of experience as a postdoctoral research associate working in ...
... or machine learning. Design and implementation of realtime control systems, including wind tunnel and/or filed testing. Two years of experience as a postdoctoral research associate working in ...
This data will also be integrated and analyzed by machine learning and artificial intelligence ... postdoctoral fellows. Job Duties Plans, organizes, coordinates, directs, and personally ...
This data will also be integrated and analyzed by machine learning and artificial intelligence ... postdoctoral fellows. Job Duties Plans, organizes, coordinates, directs, and personally ...
Essential Duties and Responsibilities Neuroimaging data collection and management Data analysis and model building Develop advanced deep learning and machine learning algorithms Assist with ...
Essential Duties and Responsibilities Neuroimaging data collection and management Data analysis and model building Develop advanced deep learning and machine learning algorithms Assist with ...
Essential Duties and Responsibilities Neuroimaging data collection and management Data analysis and model building Develop advanced deep learning and machine learning algorithms Assist with ...
Essential Duties and Responsibilities Neuroimaging data collection and management Data analysis and model building Develop advanced deep learning and machine learning algorithms Assist with ...
This data will also be integrated and analyzed by machine learning and artificial intelligence ... postdoctoral fellows. Job Duties • Plans, organizes, coordinates, directs, and personally ...
This data will also be integrated and analyzed by machine learning and artificial intelligence ... postdoctoral fellows. Job Duties • Plans, organizes, coordinates, directs, and personally ...
This data will also be integrated and analyzed by machine learning and artificial intelligence ... postdoctoral fellows. Job Duties • Plans, organizes, coordinates, directs, and personally ...
This data will also be integrated and analyzed by machine learning and artificial intelligence ... postdoctoral fellows. Job Duties • Plans, organizes, coordinates, directs, and personally ...
This data will also be integrated and analyzed by machine learning and artificial intelligence ... postdoctoral fellows. Job Duties · Plans, organizes, coordinates, directs, and personally ...
This data will also be integrated and analyzed by machine learning and artificial intelligence ... postdoctoral fellows. Job Duties · Plans, organizes, coordinates, directs, and personally ...
This data will also be integrated and analyzed by machine learning and artificial intelligence ... postdoctoral fellows. Job Duties · Plans, organizes, coordinates, directs, and personally ...
This data will also be integrated and analyzed by machine learning and artificial intelligence ... postdoctoral fellows. Job Duties · Plans, organizes, coordinates, directs, and personally ...
Machine Learning Postdoc information
See Dallas, TX salary details
$21.7K - $39K
14% of jobs
$55.9K is the 25th percentile. Wages below this are outliers.
$39K - $56.2K
12% of jobs
$56.2K - $73.5K
8% of jobs
$73.5K - $90.8K
8% of jobs
$90.8K - $108.1K
7% of jobs
The median wage is $109K / yr.
$108.1K - $125.3K
9% of jobs
$125.3K - $142.6K
11% of jobs
$150.8K is the 75th percentile. Wages above this are outliers.
$142.6K - $159.9K
12% of jobs
$159.9K - $177.1K
9% of jobs
$177.1K - $194.4K
6% of jobs
$194.4K - $211.7K
3% of jobs
$21.7K
$112.5K
$211.7K
How much do machine learning postdoc jobs pay per year?
What is a machine learning postdoc?
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?
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 key skills and qualifications needed to thrive in a machine learning postdoc position?
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 are the most commonly searched types of Machine Learning Postdoc jobs in Dallas, TX?
The most popular types of Machine Learning Postdoc jobs in Dallas, TX are:
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For Machine Learning Postdoc jobs in Dallas, TX, the most frequently searched job titles are:
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What cities near Dallas, TX are hiring for Machine Learning Postdoc jobs?
Cities near Dallas, TX with the most Machine Learning Postdoc job openings:

ASSISTANT PROFESSOR - Advanced Imaging (Neuroimaging)
Dallas, TX
Full-time
Medical, Retirement, PTO
Re-posted 16 days ago
UT Southwestern rating
7.9
Based on 152 frontline employees who took The Breakroom Quiz
107th of 887 rated healthcare providers
Job description
The Advanced Imaging Research Center (AIRC) at UT Southwestern Medical Center in Dallas, Texas, invites applications for a tenure-track Assistant Professor position in the field of methodological development for neuroimaging.
Potential topics include but are not limited to the development of innovative neuroimaging data analysis methods for human and pre-clinical applications and / or human 3T and 7T neuroimaging data acquisition methods. Research areas of interest include (i) functional MRI (i.e. Ultra-High resolution/layer specific, networks, novel analysis algorithms, distortion free acquisition); (ii) diffusion weighted MRI (i.e. Advanced modeling, model validation, spinal cord/heart); (iii) susceptibility weighted (SWI), quantitative (t1/t2/mt) and anatomical (Morphometry) MRI (i.e. Processing and quantification, motion correction, parallel transmission); (iv) functional and quantitative perfusion and angiography MRI and (v) machine-learning based reconstruction and analysis approaches. Integration of Neuro MRI with complementary functional neuroimaging methods such as simultaneous EEG or PET or cross-validation against invasive methods to enhance the physiological interpretation of neuroimaging contrasts is also a topic of great interest.
Applicants for this position should have a strong scientific record of accomplishment in neuroimaging methods development including novel data analysis and/or acquisition approaches and/or innovative approaches to validate neuroimaging contrasts supported by respective publications and grants. Experience in supervising graduate students and/or postdoctoral researchers is preferred. Applicants should have a Ph.D. degree in electrical engineering, physics, computational science, biomedical engineering or applied mathematics. Experience in either the development of novel and comprehensive data analysis pipelines or MRI sequence development is required. Faculty are expected to develop an independent, externally-funded research program and actively engage with clinical and basic research faculty across campus to apply the latest neuroimaging technologies to probe human brain function in health and diseases.
Applications should include a letter of interest and a curriculum vitae.
UTSouthwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. Asan equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis ofrace, color, religion, national origin, sex,sexual orientation, gender identity, gender expression,age, disability, genetic information, citizenship status, or veteran status.
This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information.
Appointment rank will be commensurate with academic accomplishment and experience. Consideration may be given to applicants seeking less than a full-time schedule.
To learn more about the benefits UT Southwestern offers, visithttps://www.utsouthwestern.edu/employees/hr-resources/
- UT Southwestern is proud to offer a competitive and comprehensive benefits package to eligible employees. Our benefits are designed to support your overall wellbeing, and include:
- PPO medical plan, available day one at no cost for full-time employee-only coverage
- 100% coverage for preventive healthcare - no copay
- Paid Time Off, available day one
- Retirement Programs through the Teacher Retirement System of Texas (TRS)
- Paid Parental Leave Benefit
- Wellness programs
- Tuition Reimbursement
- Public Service Loan Forgiveness (PSLF) Qualified Employer
- Learn more about these and other UTSW employee benefits!
What UT Southwestern employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About UT Southwestern
Sourced by ZipRecruiter
Industry
Hospitals
Company size
10,000+ Employees
Headquarters location
Dallas, TX, US
Year founded
1943