52 computer-architecture-"https:"-"https:"-"https:" Postdoctoral positions at Pennsylvania State University
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Extension program focused on bed bug management and biosecurity in poultry production systems. This position will contribute to applied research, stakeholder education, and Extension programming aimed
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SPECIFICS Postdoctoral Scholar (Computational Biology) The National Synthesis Center for Emergence in the Molecular and Cellular Sciences (NCEMS) at Penn State University (ncems.psu.edu ) seeks an outstanding
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research involving quantitative, computational, theoretical, or data-driven approaches in molecular and cellular biology. Research may involve protein structure and function, molecular interactions
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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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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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. 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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, 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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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