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theoretical chemistry, machine learning and quantum information science. Candidates with experience in method development and high-performance computing are especially encouraged to apply. A Ph.D. in
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independence, good documentation habits and a track record of productive scientific results Preferred Qualifications Equipment Utilized High-performance computing; cloud computing; local workstations. Physical
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independence, good documentation habits and a track record of productive scientific results Preferred Qualifications Equipment Utilized High-performance computing; cloud computing; local workstations
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. The Postdoctoral Associate will also be expected to be highly collaborative and train and mentor undergraduates in scientific research projects. This is a grant-funded position contingent on the
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field. Background in either scientific computing or experimental design required. Consideration to interview will also be given to applicants who are in the process of completing their PhD degree
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in programming languages commonly used in scientific computing (e.g., R, Python, Linux/Unix environment). Excellent analytical, written, and verbal communication skills; must be proficient in spoken
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analysis, computational neuroscience, or preclinical neuroscience research. Experience with statistical analysis, scientific visualization, reproducible data management, and quantitative interpretation of
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-dedicated 3T Prisma MRI scanner, an EEG / TMS suite, high-speed access to high-performance computing, and shared lab space with other neuroimaging groups. The Postdoctoral Associate will also have