324 parallel-computing-numerical-methods-"https:" positions at Pennsylvania State University
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SPECIFICS We are seeking a Research Computing Software Engineer to join the Visualization and Decision Support Division (VDS) of the Applied Research Laboratory (ARL) at Penn State. You will work
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SPECIFICS Your working location can/will be fully on-site located in State College, Pennsylvania. We are searching for a proactive and technically curious Scientific Computing Engagement Specialist
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SPECIFICS We are seeking a Research Computing Software Engineer to join the Visualization and Decision Support Division (VDS) of the Applied Research Laboratory (ARL) at Penn State. You will work
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SPECIFICS We are seeking a motivated, self-starting Computing Software Specialist (Platform Observability) to join our Cloud Technology Advancement Department in the Applied Research Laboratory (ARL
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. POSITION SPECIFICS The Department of Human-Centered Computing and Social Informatics (HCCSI) in the College of Information Sciences and Technology (IST) at The Pennsylvania State University
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SPECIFICS The Institute for Computational and Data Sciences (ICDS) at Penn State seeks a Resea rch Computing Engineer to join our technical team. This role supports Penn State’s resea rch mission by
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SPECIFICS The Institute for Computational and Data Sciences (ICDS) at Penn State seeks a Resea rch Computing Engineer to join our technical team. This role supports Penn State’s resea rch mission by
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, uncertainty quantification and probabilistic methods, and integrating any area of mathematics research and AI. The successful candidate will be expected to develop a leading research program, contribute to
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Park Campus, during the Spring 2027 semester: IST 597 Special Topic: Foundations of Quantum Computing This course covers foundations of Quantum Computing, which is an emergent field of cutting-edge
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collaboratively. Experience in one or more of the following areas is preferred: quantum algorithms, quantum information theory, quantum simulation, numerical analysis, or scientific computing