50 computer-programmer-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at Pennsylvania State University in United States
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the importance of this role in our research program. Essential job function: Design and implement research protocols; design safety procedures; adapt new procedures, methods or instrumentation related to research
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seeking applications for a Postdoctoral Researcher position in the field of computational land surface hydrology, with a focus on Foundation AI model pretraining and finetuning, geospatial data processing
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their own research program in collaboration with, and in parallel to, Prof. Zanazzi. Penn State hosts a vibrant community of scientists working on many aspects of exoplanetary astrophysics, including
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multiple years of renewal based upon mutual agreement. Requirements A PhD in Bioinformatics, Computational Biology, Systems Biology, Genomics, Data Science, Molecular Biology, or a closely related field is
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experimental and/or data skills are welcome to apply. Experience in computer programming (e.g., Matlab, Python) and neuroinformatics tools is a plus but not required. Previous work with rats and basic surgical
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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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. JOB DESCRIPTION AND POSITION REQUIREMENTS: Job Description A postdoctoral scholar position is available in the Computational Electromagnetics and Antennas Research Laboratory (CEARL) in the Electrical
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computational approaches. The successful applicant will join Dr. Carlos Blanco's research group with significant academic freedom to pursue independent research directions. The postdoc will work closely with
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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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motivated researcher to develop a strong independent research profile at the interface of Bayesian statistics, clinical trial design, optimization, computational statistics, and/or translational cancer