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Temporary Machine Learning Postdoc Jobs in Michigan

CNC Machinist - 3rd Shift

Dundee, MI

$19.25 - $26.50/hr

Monitor machine performance and conduct routine preventative maintenance. * Area Organization ... Learning and Development: We empower all our Associates - from entry-level to senior-level - with ...

CNC Machinist - 3rd Shift

Dundee, MI · On-site

$19.25 - $26.50/hr

Monitor machine performance and conduct routine preventative maintenance. * Area Organization ... Learning and Development: We empower all our Associates - from entry-level to senior-level - with ...

AI Software Developer

Ann Arbor, MI · On-site

$47.82 - $53.13/hr

Temporary Salary: $47.82-53.13 Hourly W2 Start Date: ASAP Partner with Aquent to join a leading ... This is your chance to build scalable AI solutions using modern machine learning, generative AI ...

Temporary Salary: $42.06-46.73 Hourly W2 Start Date: Jul 13, 2026 Partnering with Aquent, we are ... machine learning systems, AI agents, and generative AI solutions. In this pivotal role, you will be ...

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Temporary Machine Learning Postdoc information

What are the key skills and qualifications needed to thrive as a Temporary Machine Learning Postdoc, and why are they important?

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 during their appointment?

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 the most commonly searched types of Machine Learning Postdoc jobs in Michigan? The most popular types of Machine Learning Postdoc jobs in Michigan are:
What are popular job titles related to Temporary Machine Learning Postdoc jobs in Michigan? For Temporary Machine Learning Postdoc jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Temporary Machine Learning Postdoc jobs in Michigan look for? The top searched job categories for Temporary Machine Learning Postdoc jobs in Michigan are:
What cities in Michigan are hiring for Temporary Machine Learning Postdoc jobs? Cities in Michigan with the most Temporary Machine Learning Postdoc job openings:
Post Doctoral Fellow - Department of Pharmaceutical Sciences

Post Doctoral Fellow - Department of Pharmaceutical Sciences

Wayne State University

Detroit, MI • On-site

$48K - $65K/yr

Full-time

Posted 16 days ago


Wayne State University rating

7.6

Company rating: 7.6 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

251st of 552 rated colleges and universities


Job description

Post Doctoral Fellow - Department of Pharmaceutical Sciences
Wayne State University is searching for an experienced Post Doctoral Fellow - Department of Pharmaceutical Sciences at its Detroit campus location.
Wayne State is a premier, public, urban research university located in the heart of Detroit, Michigan where students from all backgrounds are offered a rich, high-quality education. Our deep-rooted commitment to excellence, collaboration, integrity, diversity and inclusion creates exceptional educational opportunities which prepare students for success in a global society.
Essential functions (job duties):
Job Purpose:
The purpose of the Postdoctoral Scholar/Fellow positions is to provide individuals, who have recently (within the past 6 years) completed a doctoral degree, with a full-time program of advanced academic preparation and research training under the guidance of a supervising Faculty Mentor. Postdoctoral appointments are temporary by nature and are designed to develop the Postdoctoral Scholar/Fellow as an independent scientist and to enhance their professional skills. Postdoctoral Scholars/Fellows are considered to be in training for future faculty teaching/ research positions or for a position suited to their desired career outcomes and recognized for their dual status as trainees and employees.
Postdoctoral Scholars/Fellows provide leadership in the design and management of research programs. They additionally assist their Faculty Mentor(s) in designing protocols as well as training and/or supervising technical research staff to complete research projects. With the assistance of the Faculty Mentor, postdoctoral scholars/fellows write research grants with the goal of obtaining additional research grants. They conduct independent research that is expected to result in scholarly publications and presentations for research funding at scientific meetings.
The postdoctoral scholars/fellows complete technical laboratory and/or field experimental procedures. They conduct independent research with grant funding they were responsible for obtaining. Postdoctoral scholars /fellows, with permission and supervision of their mentor(s), may also be involved with the training of undergraduate and graduate students in the laboratory, which is another key aspect towards their preparation for future academic and non-academic positions.
Essential Functions:
Perform scientific techniques or research protocols. Assist the Principal Investigator in designing and performing protocols. Design and perform experiments. Collect and log research data. Participate in implementing research objectives, ensuring compliance with all legal, regulatory and protocol guidelines. Assist other lab members with experiments as required. May mentor research assistants and students.
With the assistance of the mentor, find and write research grants with the goal of obtaining additional research grant funding. Responsibilities may also include coordinating correspondence with applicants and grantees, acknowledging receipts of proposals, and maintaining a system to track proposals.
Evaluate and perform preliminary analysis of the data using graphs, charts or tables to highlight the key points of the research results collected in accordance with the research protocols as stipulated.
Prepare and present presentations regarding research project results for professional, scientific and academic conferences. Summarize and organize data results for submittal to academic and scholarly, peer-reviewed journals. Write scientific manuscripts and other documents for publication. Fact-check, proofread, and edit research documents to ensure accuracy.
Maintain the laboratory work areas including routine maintenance on laboratory equipment as required. Order and organize required research supplies and records. Maintain cleanliness and organization of work station.
Perform other related duties as assigned.
Unique duties:
Determine roles for oxidative stress-related signaling steps in the onset of nuclear oxidative stress leading to beta cell death under diabetogenic conditions. Conduct proteomic studies for the identification of interaction partners of specific small G proteins (e.g., Rac1) and its corresponding signaling pathways in islet beta cells exposed to metabolic stress. Evaluate novel small molecule inhibitors of Rac1 in alleviating intracellular oxidative stress and beta-cell dysfunction in the diet-induced obesity animal model.
Qualifications:
Education: Doctorate degree
Requires advanced knowledge in a field of science or learning, predominantly intellectual in character.
This knowledge is acquired by a prolonged course of specialized intellectual instruction.
Experience: Intermediate (3 to 4 years job-related experience)
Job related experience can include doctorate training. Experience performing basic research techniques,
preferred. Must have distinguished themselves in research. Prior recipient of funding for research based on individual achievements.
Knowledge, Skills and Abilities:
Ability to work independently. Ability to secure grants and funding for research. Ability to collect, analyze, summarize and interpret research findings in reports and communicate results to the field. Knowledge of and experience with current scientific integrity principles. Excellent time management and organization skills.
Excellent interpersonal skills and demonstrated ability to work with others in a collaborative environment. Microsoft office software skills.
Preferred qualifications:
The applicant must have a PhD in Biochemistry, Cell Biology or Molecular Biology, and should be able to work independently and in-group settings. Experience in small animal handling and surgery is preferred.
School/College/Division:
H18 - Pharmacy & Health Science
Primary department:
H1822 - Pharmaceutical Sciences
Employment type:
  • Regular Employee
  • Job type: Full Time
  • Job category: Research
Funding/salary information:
  • Compensation type: Annual Salary
  • Salary minimum: TBD
  • Salary hire maximum: TBD
Working conditions:
Typical work environment may include a laboratory and/or office environment. May require working non-standard business hours including evenings and weekends. May be required to travel to scientific conferences.
Job openings:
  • Number of openings: 1
Background check requirements:
University policy requires certain persons who are offered employment to undergo a background check, including a criminal history check, before starting work. If you are offered employment, the university will inform you if a background check is required.

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