96 parallel-computing-numerical-methods-"Prof" research jobs at Pennsylvania State University
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. JOB DESCRIPTION AND POSITION REQUIREMENTS: Prof. Romit Maulik in the College of Information Sciences and Technology (IST) at the University Park campus seeks applicants for a postdoctoral scholar in
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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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. JOB DESCRIPTION AND POSITION REQUIREMENTS: The Applied Research Laboratory (ARL) at Penn State University is seeking energetic, highly motivated, and technically sound Agile Methods Managers
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sound Agile Methods Managers & Researchers with excellent interpersonal skills to assist in building strong client relationships. We are seeking broad thinkers with the experience to drive highly
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position. The student researcher will be asked to assist in computational polymers research. The successful applicants will assist in our work to explore digital representations of polymer aggregates
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the opportunity to work with faculty and students from physics, mathematics, and/or computer science. We are particularly interested in candidates with expertise in open quantum systems and at least one
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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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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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of at least two references. Questions can be directed to Prof. Yi Zhang at yjz5549@psu.edu . BACKGROUND CHECKS/CLEARANCES Employment with the University will require successful completion of background check(s
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Sriperumbudur. Potential research projects include (but are not limited to) developing theory and methods for metric-valued (including functions, distributions) data analysis, optimal transport and gradient flows