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Temporary Machine Learning Postdoc Jobs in Houston, TX

MD Anderson

Postdoctoral Fellow - Imaging Physics

Houston, TX · On-site

$46K - $63K/yr

A postdoctoral fellowship position is available in the Department of Imaging Physics in the ... Experience with machine learning and deep learning techniques, statistical modeling, biomechanical ...

MD Anderson

Postdoctoral Fellow - Imaging Physics

Houston, TX · On-site

$46K - $63K/yr

A postdoctoral fellowship position is available in the Department of Imaging Physics in the ... Experience with machine learning and deep learning techniques, statistical modeling, biomechanical ...

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Temporary Machine Learning Postdoc information

What skills and qualifications are needed to thrive as a temporary machine learning postdoc?

To thrive as a Temporary Machine Learning Postdoc, you need a PhD in a relevant field, a solid grasp of machine learning theory, and strong programming skills (often in Python or R). Experience with tools such as TensorFlow, PyTorch, and high-performance computing environments, as well as a record of peer-reviewed research, is typically required. Strong analytical thinking, collaboration, and effective communication help you stand out in this research-intensive role. These skills are essential for advancing cutting-edge research, publishing impactful findings, and contributing to interdisciplinary projects.

What types of projects and collaborations can a temporary machine learning postdoc expect to engage in?

A Temporary Machine Learning Postdoc typically works on cutting-edge research projects, often contributing to ongoing studies or initiating novel investigations within the field. Collaboration is common, both within their immediate research group and with interdisciplinary teams, such as data scientists, domain experts, or industry partners. Postdocs may also mentor graduate students, present findings at conferences, and publish papers, gaining valuable experience that can lead to academic or industry roles. The environment is fast-paced and research-driven, offering opportunities for professional growth and expanding one's research portfolio.

What is a temporary machine learning postdoc?

A Temporary Machine Learning Postdoc is a fixed-term research position, typically held at a university or research institution, focused on advancing knowledge and techniques in machine learning. Postdoctoral researchers in this role work on specific projects, often collaborating with faculty, graduate students, or industry partners. The position is designed to provide advanced training and research experience after earning a PhD, usually lasting from several months to a couple of years. Temporary postdocs may contribute to publishing academic papers, developing algorithms, and mentoring students, while preparing for longer-term academic or industry careers.

What is the difference between Temporary Machine Learning Postdoc vs Data Scientist?

AspectTemporary Machine Learning PostdocData Scientist
CredentialsPhD in Computer Science, Data Science, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; often requires experience
Work EnvironmentAcademic or research institutions, labsCorporate, tech companies, startups
Employer & Industry UsageUniversities, research centersBusiness, technology, finance, healthcare
Search & Comparison IntentUnderstanding research-focused roles, academic opportunitiesIndustry roles, applied data analysis, business impact

The Temporary Machine Learning Postdoc is primarily research-oriented, often in academic or research settings, requiring a PhD. In contrast, a Data Scientist typically works in industry, applying data analysis and machine learning to solve business problems, often with a Bachelor's or Master's degree. Both roles involve machine learning skills but differ in environment, focus, and experience level.

What are popular job titles related to Temporary Machine Learning Postdoc jobs in Houston, TX?

For Temporary Machine Learning Postdoc jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Temporary Machine Learning Postdoc jobs in Houston, TX look for?

The top searched job categories for Temporary Machine Learning Postdoc jobs in Houston, TX are:

What cities near Houston, TX are hiring for Temporary Machine Learning Postdoc jobs?

Cities near Houston, TX with the most Temporary Machine Learning Postdoc job openings:

Temporary Machine Learning Postdoc jobs near you

Postdoctoral Associate - Aortic Imaging & Clinical Research

Baylor College of Medicine

Houston, TX • On-site

$62K/yr

Full-time

Re-posted 29 days ago

Baylor College of Medicine rating

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Company rating: 8.0 out of 10

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Job description

Postdoctoral Associate - Aortic Imaging & Clinical Research
Division: Surgery
Work Arrangement: Onsite only
Location: Houston, TX
Salary Range: $62,232
FLSA Status: Exempt
Work Schedule: Monday - Friday, 8 a.m. - 5 p.m.
Summary
A Postdoctoral Associate position is available in the Division of Vascular Surgery's Vascular Intelligence for Translational AI & Learning (VITAL) Lab, Michael E. DeBakey Department of Surgery. The Postdoctoral Associate will focus on clinical data collection, data management, and imaging-based and clinical research in aortic disease. They must hold an MD or MD/PhD degree with clinical research experience, or a PhD degree in biomedical engineering, medical physics, computational science, or a related field with experience in vascular imaging research.
The Postdoctoral Associate will receive training under the guidance of the Principal Investigators and collaborating investigators to conduct prospective or retrospective imaging-based and clinical research projects focused on aortic disease and complex endovascular aortic repairs. Responsibilities include protocol development, study design, data collection and analysis, interpretation of clinical and imaging findings, manuscript preparation, and presentation of research findings at scientific meetings. This position provides an excellent platform for career development and the opportunity to contribute to cutting-edge research in advanced endovascular aortic therapies within a collaborative, multidisciplinary research environment.
Baylor College of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates.
Job Duties
  • Participates in prospective and retrospective imaging-based and clinical research projects focused on aortic disease and complex endovascular aortic repair, including protocol development, study design, clinical data collection and management, and imaging data organization and analysis.
  • Participates in vascular imaging research that includes CTA/DICOM image acquisition, interpretation, imaging-based outcome analysis, and AI- and digital twin-based research initiatives.
  • Develops research protocols, including IRB submissions and amendments, and contribute to coordination of multicenter clinical research studies.
  • Works collaboratively and professionally within multidisciplinary teams. while demonstrating strong communication skills, accountability, teamwork, and a positive attitude in support of aortic research projects.
  • Performs data analysis and interpretation of clinical and imaging research findings.
  • Prepares high-quality abstracts, manuscripts, presentations, scientific reports, and other academic materials for peer-reviewed publications and local, national, and international professional conferences.
  • Contributes to scholarly and collaborative research activities.
  • Demonstrates strong written and verbal communication skills, attention to detail, professionalism, and the ability to manage multiple research responsibilities in a timely and organized manner.
  • Completes assigned responsibilities accurately and efficiently, maintain research documentation and data quality standards, and perform other duties as assigned.
  • Performs other job-related duties as assigned.

Minimum Qualifications
  • MD or Ph.D. in Basic Science, Health Science, or a related field.
  • No experience required.

Preferred Qualifications
  • MD or MD/PhD degree with clinical research experience, or a PhD degree in biomedical engineering, medical physics, computational science, or a related field with experience in vascular imaging research.
  • Experience in clinical or imaging-based research.
  • Familiarity with vascular imaging software, image post-processing, and AI/machine learning applications in clinical or imaging research is desirable.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
NN; PD; SN
Requisition ID: 25511

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