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Field
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human subject research in clinical populations with impaired neuromuscular control, especially those with acute or chronic concussion Programming experience (MATLAB, Python, R) Experience using
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human subject research in clinical populations with impaired neuromuscular control, especially those with acute or chronic concussion Programming experience (MATLAB, Python, R) Experience using
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-completed PhD (within the last 0-5 years) in field of physics, engineering, or a closely related field Demonstrated programming proficiency in C/C++, Python, or another scientific programming language
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-domain Demonstrated expertise with scientific analysis and programming software such as C, Python, MATLAB, Igor, or comparable equivalent A background in productive and creative research efforts
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cytometry leading to publication in peer-reviewed journals is recommended. Preferred skills include experience with mouse models, bioinformatics skills (R, Python), background in T cell immunology, and a
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Geosciences, Environmental sciences, Civil or Environmental Engineering, Physics or Mathematics or a related discipline Experience in programming (e.g., Python, MATLAB, or similar), interest in machine learning
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publication record in cognitive science, neuroscience, computer science, psychology, or related field. Strong functional neuroimaging background and/or computer programming skills (e.g. MATLAB and/or Python
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years, pending satisfactory performance in annual reviews. Preferred Qualifications: Experience with cosmological codes, python, and/or C/C++ Applicant Instructions Applicants should be prepared to upload
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 3 hours ago
effective manipulation of gridded data, such as MATLAB, Python, R, or NCO. Ability to read and do limited modifications of C/C++ model source code. Ability to use Windows or MacOS. Ability to run simulations
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is a plus. Candidates should also demonstrate strong skills in Python (for ML/NLP tasks) and R (for statistical modeling or data analysis), as both will be actively used in the research workflow