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and training of non-human primates. • Excellent programming skills (R, matlab, etc). • Knowledge of legal and ethics frameworks • Ability to work independently as well as part of a team • Ability to
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, Python, Matlab, and C++) would be advantageous. The appointee will work with a research team to study the methodologies for estimating population immunity against infectious diseases, to analyse large and
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skills are essential. Knowledge in programming languages, e.g., Matlab, Pytyhon, or similar are highly appreciated. Expertise in quantum foundations, matter waves, and atom physics are advantageous. In
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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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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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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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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