48 parallel-computing-numerical-methods-"https:" research jobs at Pennsylvania State University
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SPECIFICS The Uzun Lab at the Penn State College of Medicine, Department of Pediatrics, Hershey, PA, is seeking a postdoctoral scholar in Bioinformatics/Computational Biology. Our lab’s research interests
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Coursework or project experience in bioinformatics or computational biology Basic programming skills in Python, R, or similar languages Willingness to learn new computational tools and methods Strong attention
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REQUIREMENTS Vijaykrishnan Narayanan within the Department of Computer Science and Engineering is looking to hire a part-time research assistant to conduct research on the topic of operating systems and cloud
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computers or atomic-physics platforms, and quantum algorithms for quantum many-body physics. A PhD in Physics is required. The ideal candidate will have numerical simulation skills with exact diagonalization
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. The overall goal is to: (1) develop and apply statistical genomic methods to analyze multi-omics datasets for understanding complex disease etiology and (2) develop and apply novel statistical models to analyze
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required. Qualified candidates are expected to have a background in scientific machine learning, numerical analysis, and dynamical systems. Preference will be given to candidates that are proficient with
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background in computer science and programming. The ideal candidate will have strong skills in web scraping, processing unstructured data (both text and images), and experience with modeling techniques such as
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REQUIREMENTS The Department of Astronomy and Astrophysics is seeking applicants for the part-time job of Research Assistant. The McEntaffer research group in the Department of Astronomy & Astrophysics (https
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skills in analytical chemistry method development (e.g., HPLC-MS/MS, GC-MS/MS). Interested applicants with a range of clinical and laboratory-based skills and doctoral degrees will be considered
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method widely used in social sciences, education, and business research. This project aims to advance AI applications in qualitative research while providing hands-on experience in machine learning