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Weekend Machine Learning Postdoc Jobs in Virginia

Postdoctoral Associate Apply now Back to search results Job no: 536195 Work type: Research Faculty ... Demonstrated research expertise in federated learning, differential privacy, machine learning for ...

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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Weekend Machine Learning Postdoc information

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

AspectWeekend Machine Learning PostdocWeekend Data Scientist
Required CredentialsPhD in Computer Science, Machine Learning, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentAcademic research settings, universities, research labsIndustry companies, startups, consulting firms
Employer & Industry UsageResearch institutions, universities, academic grantsTech companies, finance, healthcare, retail
Common Search & ComparisonYesYes

The Weekend Machine Learning Postdoc typically involves academic research with a focus on advancing machine learning theories and models, often requiring a PhD. In contrast, a Weekend Data Scientist applies data analysis and machine learning techniques in industry settings, often with a bachelor's or master's degree. Both roles may work on similar projects but differ mainly in their environment, credentials, and end goals.

What are the typical projects and collaboration opportunities for a Weekend Machine Learning Postdoc?

As a Weekend Machine Learning Postdoc, you will often contribute to ongoing research projects, developing and refining machine learning models in collaboration with faculty, graduate students, and occasionally industry partners. While your hours are concentrated on weekends, you’ll typically participate in regular research meetings, code reviews, and may co-author papers or grant proposals. The role provides opportunities to mentor junior researchers and expand your expertise by working on interdisciplinary teams. This structure allows you to make significant research contributions while maintaining flexibility in your schedule.

What is a Weekend Machine Learning Postdoc?

A Weekend Machine Learning Postdoc is a postdoctoral researcher who focuses on machine learning projects and typically works on weekends or has a flexible schedule that includes weekend hours. This role often involves conducting advanced research in machine learning, developing algorithms, publishing papers, and collaborating with academic or industry teams. Weekend postdoc positions may be ideal for those balancing other commitments or seeking non-traditional work hours while continuing their research careers.

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

To thrive as a Weekend Machine Learning Postdoc, you need a strong background in machine learning, statistics, and programming, typically supported by a PhD in a relevant field. Experience with tools such as Python, TensorFlow, PyTorch, and data analysis platforms, as well as familiarity with academic research methodologies, is essential. Exceptional problem-solving abilities, self-motivation, and effective communication are vital soft skills for success in research and collaboration. These skills enable you to drive innovative research, efficiently manage independent projects, and contribute meaningful insights to the field.
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 Weekend Machine Learning Postdoc jobs in Virginia? For Weekend Machine Learning Postdoc jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Weekend Machine Learning Postdoc jobs in Virginia look for? The top searched job categories for Weekend Machine Learning Postdoc jobs in Virginia are:
What cities in Virginia are hiring for Weekend Machine Learning Postdoc jobs? Cities in Virginia with the most Weekend Machine Learning Postdoc job openings:
Postdoctoral Associate

Full-time

Posted 29 days ago


Virginia Tech rating

7.8

Company rating: 7.8 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

196th of 546 rated colleges and universities


Job description

Postdoctoral Associate
Job no: 531898
Work type: Research Faculty
Senior management: College of Veterinary Medicine
Department: Biomedical Science
Location: Blacksburg, Virginia
Categories: Research / Scientific, Veterinary Medicine
Job Description
Looking for an enthusiastic and dedicated postdoctoral associate to join the Kehn-Hall Lab! The Kehn-Hall lab performs research on emerging viruses, including Rift Valley fever virus (RVFV), Venezuelan equine encephalitic virus (VEEV), and eastern equine encephalitis virus (EEEV). The candidate will be responsible for performing cutting edge research to identify FDA approved drugs that can be repurposed for viruses with pandemic potential. This includes working closely with computer scientists to utilize published "omics" datasets and machine learning approaches to identify FDA approved drugs that target key dysregulated pathways/proteins in virally infected cells. The candidate will also assist with the development of liver and/or brain organoid cultures including iPSC-based organoids. Candidate FDA approved drugs will be tested using organoid systems and animal models of infection. The initial focus will be on RVFV, but may be extended to other emerging viruses. The research project is highly collaborative and multidisciplinary involving virologists, computer scientists, and chemical engineers. The candidate, one of six new postdoctoral fellows to be hired within the newly NSF-funded COMPASS Center, will have the opportunity to collaborate with other scientists within the center to tackle complex cross-disciplinary problems in the prevention and control of emerging viruses with pandemic and epidemic potentials.
Required Qualifications
• PhD in Microbiology, Molecular Biology, or a closely related field. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining.
• Experience working with RNA viruses
• Proficient in cell culture and in vitro viral techniques (infections, plaque assays, generation of virus through reverses genetics systems)
• Possess molecular and/or protein biology skills, including experience with RT-qPCR, western blotting, immunoprecipitations, DNA/RNA extractions, plasmid prep, molecular cloning, and transfections.
• Capable of receiving Security Risk Assessment (SRA) approval
• Experience independently organizing and conducting complex procedures and experiments with minimal supervision
• Should be enthusiastic and dedicated, have the ability and interest in learning new techniques; must be able to follow verbal and written instructions; be observant, attentive to detail, organized, efficient, and work well with others
Preferred Qualifications
• Experience with organoid systems
• Experience working with select agents in Biosafety Level 3 (BSL-3)
• Proficient in antiviral activity testing including CC50 and EC50 determinations
• Experience with immunohistochemical staining and confocal fluorescent microscopy
• Experience working with infectious disease rodent models, including performing inoculations, blood collection, drug treatments, clinical symptom monitoring, euthanasia, gross necropsies, and viral titers analysis of organs.
• Knowledge of the regulations, policies, guidelines, and issues surrounding animal technical procedures
Appointment Type
Restricted
Salary Information
Commensurate with experience
Review Date
1/15/25
Additional Information
The successful candidate will be required to have a criminal conviction check.
About Virginia Tech
Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including the Innovation Campus in Northern Virginia; the Health Sciences and Technology Campus in Roanoke; sites in Newport News and Richmond; and numerous Extension offices and research centers. A leading global research institution, Virginia Tech conducts more than $500 million in research annually.
Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance. These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development.
Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.
If you are an individual with a disability and desire an accommodation, please contact Chris Whitlock at chrisw15@vt.edu during regular business hours at least 10 business days prior to the event.
Advertised: December 17, 2024
Applications close:
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About Virginia Tech

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Virginia Tech, guided by its motto "Ut Prosim" (That I May Serve), embraces a hands-on, interdisciplinary approach to educate scholars as leaders and problem-solvers. As a comprehensive land-grant institution, it enriches the quality of life in Virginia and worldwide, fostering an inclusive community focused on knowledge, discovery, and creativity. With over 280 majors, the university serves a diverse student body of more than 36,000 across undergraduate, graduate, and professional programs. Virginia Tech's presence extends throughout Virginia, including campuses in Northern Virginia, Roanoke, Newport News, and Richmond, along with multiple Extension offices and research centers. As a prominent global research institution, it conducts over $500 million in research annually.

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Colleges, universities, and professional schools

Company size

5,001 - 10,000 Employees

Headquarters location

Blacksburg, VA, US

Year founded

1872

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