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Field
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computing (HPC) or cloud-based big-data pipelines. Experience with large-scale human genomic, omics, or brain imaging datasets. Strong programming skills in Python, R, or MATLAB, with emphasis on data
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of the energy conversion and networks group in the Master course (25%) Grade in the power system protection course (25%) Experience in programming (25%) Experience in simulation with MATLAB/Simulink (25
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. Substantial experience with in-vivo extracellular electrophysiology in freely behaving rats. Fluency in related data analysis (e.g., Python, MATLAB). Preferred: Expertise in one or more of the following areas
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control strategies for complex power electronic systems. Proficiency in simulation tools such as MATLAB/Simulink, PLECS, PSIM, PSCAD/EMTDC, LTSpice, and QSPICE for module-level and system-level analysis and
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independently and familiarity with recent relevant scientific literature. programming skills in at least one of the following (LabVIEW, Python, MATLAB or C++). Please ensure you read the Job Description and
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, control theory, or a related field. Strong statistical understanding and a talent for data analysis and visualization using Matlab or Python are expected. Specific experience with experimental design
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evaluation and analysis. Ability to independently operate lab instruments (e.g., oscilloscopes, lasers) for security testing and data analysis. Proficiency with tools such as Python, MATLAB, or C
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related field. · Demonstrated experience in human subjects research. · Proficiency in signal processing and data analysis for human movement or physiological data. · Strong programming skills in MATLAB and
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survey and/or interview methods (e.g., field interviews, focus groups, online survey design). Proficiency with programming languages (e.g., R, Python, Matlab) for data management and analysis
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analyzing numerical methods and/or machine learning methods for scientific computing. A strong computational background and experience with languages and frameworks such as Matlab, Python, NumPy/SciPy