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Temporary Machine Learning Postdoc Jobs in Virginia

This is a temp-to-hire opportunity with room for growth for employees who demonstrate good ... Candidates who are mechanically inclined and comfortable learning different machines are encouraged ...

This is a temp-to-hire opportunity with room for growth for employees who demonstrate good ... Candidates who are mechanically inclined and comfortable learning different machines are encouraged ...

Experience integrating AI or machine learning approaches into environmental modeling * Experience ... Work closely with graduate students, postdoctoral associates, and visiting scientists * Participate ...

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Temporary Machine Learning Postdoc information

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 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 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 Virginia?

The most popular types of Machine Learning Postdoc jobs in Virginia are:

What are popular job titles related to Temporary Machine Learning Postdoc jobs in Virginia?

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

What job categories do people searching Temporary Machine Learning Postdoc jobs in Virginia look for?

The top searched job categories for Temporary Machine Learning Postdoc jobs in Virginia are:

What cities in Virginia are hiring for Temporary Machine Learning Postdoc jobs?

Cities in Virginia with the most Temporary Machine Learning Postdoc job openings:

Postdoc Research Associate, Nephrology

University of Virginia

Charlottesville, VA • On-site

Full-time

Posted 4 days ago


University Of Virginia rating

7.9

Company rating: 7.9 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

208th of 620 rated colleges and universities


Job description

The University of Virginia School of Medicine Nephrology Department is seeking a highly motivated Postdoctoral Research Associate to lead basic and translational research projects focused on the biology and clinical applications of extracellular vesicles (EVs). The successful candidate will employ advanced molecular, cellular, and translational approaches to investigate EVs as liquid biopsy biomarkers and to elucidate their roles in cardiovascular disease, metabolic syndrome, and diabetic nephropathy. In addition, the candidate will develop engineered EVs for diagnostic and therapeutic applications. Research activities will include the discovery and validation of EV-based biomarkers, the application of state-of-the-art EV technologies to clinical and experimental samples, and studies of EV-mediated intercellular communication.
The ideal candidate will be a creative scientist committed to advancing both the fundamental understanding and clinical translation of EV biology within a collaborative, multidisciplinary research environment.
Applicants should hold an M.D., Ph.D., M.D./Ph.D., or equivalent doctoral degree in a relevant field. A strong background in cell and tissue culture, molecular and cellular biology techniques, microscopy, and experience with model organisms is required. Prior experience in extracellular vesicle research is desirable but not required. Candidates should possess experience in flow cytometry or demonstrate a strong interest in learning advanced flow cytometric approaches for single-EV characterization. The selected candidate will also be expected to develop expertise in EV isolation and characterization techniques, including nanoparticle tracking analysis (NTA), super-resolution imaging, differential ultracentrifugation, and size-exclusion chromatography.
We welcome applications from individuals completing their doctoral training as well as those seeking postdoctoral experience. Preference will be given to candidates with an outstanding publication record, demonstrated scientific productivity, and/or a history of obtaining competitive external funding. Postdoctoral employment is temporary and is normally limited to an individual who has been awarded a Ph.D. or equivalent doctorate within the previous five years and who will be involved in full-time research or scholarship at the University.
In addition to conducting independent research, the postdoctoral associate will contribute to the laboratory's collaborative environment by sharing expertise and mentoring students, staff, and research collaborators in EV-related methodologies.
The Postdoctoral Research Associate will work closely with the Principal Investigator and senior scientists while maintaining a high degree of scientific independence. Responsibilities include designing and conducting experiments, developing and implementing novel methodologies, analyzing and interpreting complex datasets, preparing manuscripts and grant applications, and presenting research findings at scientific meetings.
We are committed to supporting the professional development of our trainees. A personalized career development plan will be established for the successful candidate, providing opportunities for mentorship, scientific leadership, grant writing, teaching, and advancement toward an independent research career.
Anticipated Salary: $60-$65,000 annually.
This position WILL sponsor applicants already in the US for work visas.
This is a restricted position; continuation is dependent on funding and satisfactory performance.
This position is located in Charlottesville, Virginia. This is a full-time benefited position. For more information on the benefits at UVA, visit www.hr.virginia.edu/benefits .
The University will perform background checks on all new hires prior to employment.
Application Process:
Please apply online , and search for R0086380. Internal applicants may search and apply for jobs on the UVA Internal Careers website . Complete an application online with the following documents:
  • CV/Resume
  • Cover Letter

Upload all materials into the resume submission field, multiple documents can be submitted into this one field. Alternatively, merge all documents into one PDF for submission. Applications that do not contain all the required documents will not receive full consideration. This position is open until filled.
References will be completed via UVA's standardized process SkillSurvey. A total of five references will be requested via SkillSurvey during the final phase of the interview process. A minimum of three are required.
For information regarding the position or the application process, please contact Jessica Speth, Academic Recruiter, js9rk@virginia.edu.
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA's commitment to non-discrimination and equal opportunity employment .

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About University of Virginia

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The University of Virginia is distinctive among institutions of higher education. Founded by Thomas Jefferson in 1819, the University sustains the ideal of developing, through education, leaders who are well-prepared to shape the future of the nation.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Charlottesville, VA, US

Year founded

1819