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interdisciplinary team. Excellent programming skills and proficiency in a programming language (e.g., C++, Python, MATLAB) and modern machine learning packages. In-depth theoretical and practical knowledge in
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. LICENSES, TOOLS, AND EQUIPMENT: Personal computers and printers; word processing, database management, spreadsheet software, other scientific analysis software (R, python, MatLab), laboratory equipment as
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Vision Analyzer, Matlab/EEGLAB/FieldTrip) Prior training and experience in autism diagnostic instruments (ADOS, ADI) Downloading a copy of our Job Description Full details of the role and the skills
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computational skills, with experience in advanced data analysis and statistical methods Proficiency in computer programming, ideally in MATLAB, Python or similar tools for scientific data analysis and
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, MATLAB). excellent written and verbal communication skills. proven ability to work collaboratively in a team setting. Pre-employment checks Your employment is conditional upon the completion of all role
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, Electroencephalogram (EEG), Experimentation, Genome-Wide Association Study (GWAS), Laboratory Operations, Laboratory Techniques, Magnetic Resonance, MATLAB, MRI Analysis, MRI Software, Neuroimaging, PET/CT
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Optimal Control Theory Strong programming skills in C++/Python/MATLAB Familiarity with parallelization and high performance computing (CPU and GPU friendly code) Experience with Machine Learning, generative
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contributing to or evaluating PPIE activities. Experience in/understanding of eye-tracking and/or EEG data acquisition and analysis (e.g. Brain Vision Analyzer, Matlab/EEGLAB/FieldTrip) Prior training and
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 1 month ago
numerical work (35%) Minimum Qualifications: PhD in Ocean Engineering or related field Experience with programming and analysis in Matlab or similar programming language Experience with hands-on experimental
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models, statistical analysis). Proficiency in programming languages (e.g., R, Python, MATLAB) and familiarity with relevant air quality modeling tools. Experience with large datasets and data processing