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Field
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-grade algorithms. Demonstrated ability to work on complex data analysis problems and deliver robust computational solutions. Excellent communication skills and a strong interest in interdisciplinary
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(CAMERA) has a new opening for a postdoctoral scholar to develop cutting-edge mathematics and algorithms to analyze complex data from Department of Energy (DOE) experimental facilities. This role involves
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reviewed on a rolling basis. A complete application consists of: An application, including academic history, work history experiences, and honors/awards Description of your goals, related experience, and
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description The Sars-Covid virus genomic RNA encodes a small number of structural proteins, one of which is the N-protein. This N-protein plays a strong role in packaging the genomic RNA; yet, how this
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. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants . This is a term position
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the Aspasia premium awarded to dr. Mitra Baratchi for her research on machine learning for spatio-temporal data. The successful applicant will be embedded in the Spatio-temporal Data Analysis and Reasoning
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will also contribute to policy analysis and the assessment of existing knowledge-to-action tools, support the preparation of policy briefs, factsheets, and other communication resources, and work closely
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, biophysics, applied mathematics, or related field. Expertise in machine learning, computer vision, or image analysis. Experience with data management and databases. Experience working with Python, scientific
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, Mathematics, Bioengineering or a related discipline PhD in Physics, Applied Science, or a related discipline Experience in statistical physics, stochastic processes and/or data analysis methods Strong interest
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acquisition and analysis, including EEG, EMG, and related bio-signals. Advanced knowledge of human neurophysiology, motor control, neuromuscular function, pain mechanisms, psychiatric, and the neural circuits