62 parallel-computing-numerical-methods-"Simons-Foundation" 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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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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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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laboratory and database administration. Experience with processing data from massively parallel DNA sequencers, computation on high performance compute clusters, using open source database management systems
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computational skills, including numerical methods and scientific programming (Python, MATLAB, C++, etc.). Effective communication and collaborative skills. Preferred Qualifications: Experience with wide-bandgap
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computational biology and bioinformatics, with experience in: Applying deep-learning or AI-based methods for image denoising. analysis of whole-genome sequencing (WGS) or other large-scale sequencing data
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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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upcoming rocket payload OGRE. This work includes hardware assembly and testing, data analysis, numerical modeling, and other lab related tasks. The RA will receive all relevant training related to this role
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decoherence or monitoring with or without postselection. Anticipated methods include exact diagonalization, density matrix renormalization group, and other computational techniques. The researcher will also
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in molecular biology, experience with in-vivo and in-vitro models of inflammation testing, and computational methods of drug design and docking. Experience with cell culture techniques and demonstrated