349 parallel-computing-numerical-methods-"https:" positions at Pennsylvania State University
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molecular and cellular biology data. Candidates should have experience developing, implementing, or applying computational methods to large-scale biological datasets. Expertise in Python and/or R is
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candidate will have experience in simulating dust aerosols using regional models and comparing them the satellite and surface observations. Responsibilities: Analysis of observations and numerical
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Applied Research Laboratory (ARL) at Penn State. Operations Research is a multidisciplinary field in which a wide range of analytical methods are utilized to aid decision-making. ARL is an authorized DoD
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department. Key Responsibilities Develop, select, and apply advanced computational and statistical methods to analyze complex biological datasets Perform integrative multi-omics analyses (e.g., genomics
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computing, project management, and finance and administration. PHS offers graduate programs including the PhD in Epidemiology, PhD in Biostatistics, Doctor of Public Health (DrPH), Master of Public
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computing, project management, and finance and administration. PHS offers graduate programs including the PhD in Epidemiology, PhD in Biostatistics, Doctor of Public Health (DrPH), Master of Public
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offers state-of-the-art infrastructure for particle-astrophysics research, including access to Penn State's high-performance computing resources associated with the Institute for Computational and
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Penn State. This role will provide systems administration, computing support, and specialized support services for the enablement of key research and administrative functions by ensuring the security
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control and data acquisition, edge computing architectures, modular system architecture definition, integration methodologies, and test set development to include hardware in the loop and software in
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administration, computing support, and specialized support services for the enablement of key research and administrative functions by ensuring the security, compliance, functionality, and reliability of research