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, particularly in: MATLAB; Parallel and cloud computing; Graphical user interface (GUI) development Familiarity with: Statistical modeling techniques; Database management; Neuroimaging methods; Neurobiology
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-to-date experience in MRI methods. Experience in working with MRI, fMRI, EEG, SPECT, and PET data. Demonstrated knowledge of computer programming (Bash, Python, Matlab, R, Git, HTML). Demonstrated
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extensive expertise in statistical modeling, data wrangling, and coding using programming languages such as R, MATLAB, Python, and SPSS. Responsibilities include designing and implementing complex statistical
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CHEE 370 or its equivalent Computational Methods in Chemical Engineering (CHEE390): Excellent knowledge of MATLAB CHEE400: Having taken CHEE400 or equivalent courses in Energy Science , Renewable Energy
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data analysis skills in: R and Python: development of automated workflows, statistical modeling, data visualization. MATLAB (preferred but not essential): particularly for legacy data handling
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models) - Survival analysis (Cox models, competing risks) - Demonstrated knowledge of R - Familiarity with Matlab, SPSS and similar programs are an asset - Excellent verbal and written communication
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-photon live imaging, and mouse behavior Experience with coding is an asset (e.g., R, Python, MATLAB). A strong track record with neuroscience research in peer-reviewed journals. Ability to work
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resource management. Proficiency in programming languages such as R, Python, or MATLAB for model development and data analysis. Knowledge of fisheries biology, management practices, and sustainable fishing
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speaking ability. Must have completed a course in system dynamics and control. Experience with Matlab/Simulink and MSC ADAMS. Past TA duties must include marking or demonstrating or tutoring. Proficiency in
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, neuroscience, psychology, or related fields Strong background in coding (Python, MATLAB, etc.) Experience with AI, deep learning, and machine learning tools (especially for behavioral analysis) Solid