13 scientific-computing "https:" Postdoctoral positions at Pennsylvania State University
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Scientific Computing: Design and analyze quantum algorithms for optimization, combinatorial search, differential equations, scientific simulation, and other computational challenges arising in engineering
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be based in the IST and will have opportunities to collaborate across Penn State, including with the Penn State Quantum Hub (https://quantum.psu.edu/ ), Institute for Computational and Data Sciences
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postdoctoral scholars will work primarily on the PCHES-ADAPT project (https://pches.psu.edu ), which is supported through a 10-institution cooperative agreement with DOE’s Office of Science. In addition
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SPECIFICS Dr. Mathias Martins is seeking a Postdoctoral Scholar to join his research program in the Department of Veterinary and Biomedical Sciences at Penn State. The laboratory focuses on poultry viruses
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science, data science, computer science, robotics, natural language processing, computer vision, optimization, or a related field A keen interest in, or background studying, the role of leadership in
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candidates, especially those with experience in electrochemistry, reaction kinetics, and flame composition measurements The ECEC, directed by Prof. Chao-Yang Wang, is a multi-disciplinary research program
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and attitude strong organization and time management skills enjoyment in both independent and collaborative work interest in preparing scientific publications ability to design and execute experimental
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, under the mentorship of Dr. Dajiang Liu (https://dajiangliu.blog ), is expected to work on at least one of these objectives. Requirements: A Ph.D. in statistics/biostatistics, computer
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Technology, Human-Computer Interaction, or a closely related field Demonstrated experience conducting empirical research in educational or community settings Strong writing, collaboration, and project
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linked to oral health outcomes and health disparities. Apply and develop bioinformatic pipelines, statistical models, and computational tools to assess associations between microbial composition, oral