83 genetic-algorithm-computer Postdoctoral positions at Pennsylvania State University
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SPECIFICS Dr. Mathias Martins is seeking a Postdoctoral Scholar to join his research program in the Department of Veterinary and Biomedical Sciences at Penn State. The laboratory focuses on poultry viruses
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a strong background in Biochemistry, Mathematics, and/or Mechanics (experimental and computational methods (use of OpenFOAM and/or COMSOL)) are welcome to apply. Experience in blood and animal
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experience with biochemical assays assessing biomolecular interactions. Experience with bacterial genetics and molecular cloning is expected. Applicants must hold a PhD in microbiology or equivalent life
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, brain injury, and stroke, and develop DRCs for these populations. We seek a motivated researcher from rehabilitation science, implementation science, informatics, or health services research, interested
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. Other than imaging, we are also interested in biochemical, genetic and sequencing approaches to understand gene regulation. This position is open immediately and initially funded for two years. YOUR TASKS
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focuses are: 1) Investigating the underlying molecular mechanisms by which 3D genome topology controls the hematopoietic transcription program and lineage differentiation in normal and malignant
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with the Director of the Engineering Ambassadors program and Leonhard Center staff to coordinate and support program implementation. Responsibilities related to the outreach initiative include working
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for the program. · While the RTP team primarily operates remotely, preference will be given to applicants in Virginia within commuting distance of Washington, D.C. to support in-person data collection from
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quantitative and analytical skills. Experience working with large publicly available datasets—such as, but not limited to, the Health and Retirement Study (HRS), All of Us Research Program, Adolescent Brain
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- Requirements include a Ph.D. in Electrical and Computer Engineering, Computer Science or other relevant fields by the start date. Prior background in machine learning, digital twins and electronic design