30 parallel-and-distributed-computing-phd Postdoctoral positions at Pennsylvania State University in computer-science
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SPECIFICS Postdoctoral Scholar (Computational Proteomics/Mass Spectrometry) The National Synthesis Center for Emergence in the Molecular and Cellular Sciences (NCEMS) at The Pennsylvania State University
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PhD degree in Computer Science, Math, Statistics (in hand at time of hire) or a related field are eligible to apply. Life sciences (Biology, Genetics, Biochemistry, etc.) PhDs with computational
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Computer Science, Math, Statistics (in hand at time of hire) or a related field are eligible to apply. Life sciences (Biology, Genetics, Biochemistry, etc.) PhDs with computational experience are also
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prior experience in large-scale calculations using CFD Strong skills in CFD for complex geometries, and parallel computing Development of advanced algorithms for problems involving very large mesh (tens
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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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. This position does not permit remote work. This is a term appointment funded for one year from the date of hire, with an excellent chance for renewal based upon mutual agreement. Requirements A PhD in Computer
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chance for multiple years of renewal based upon mutual agreement. Requirements A PhD in Computational Biology or Systems Biology is required. The successful candidate will have a strong foundation in
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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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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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Duties: Perform and analyze ReaxFF reactive molecular dynamics simulations on 2D-material growth Connect the results from these simulations to data science methods and Computational Fluid Dynamics Perform