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record will demonstrate proficiency in the design, fabrication, and pre-clinical testing of innovative devices. You should be adept with LabView, Matlab, and SolidWorks. About the School The role will be
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QUALIFICATIONS Track record of mentoring and teaching laboratory and professional skills. Experience using code-based programs (Python, MATLAB) for processing and analyzing large or multimodal datasets (e.g
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on an optical table and integrating novel optics to microscopy are a requirement for this position. Knowledge in computational imaging, mathematical modeling, strong computer programming skills in MATLAB and/or
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in developing engines and/or fuel cells models in GT-Power. Experience in using MATLAB/ Python/Siemens Simcentre to develop AI-assisted programme and models for powertrains and propulsion systems
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implemented in the Fortran programming language, and it relies on the platform CUDA for parallelization of the computation over several GPUs’ cores, and has interfaces with Matlab and Python for ease of use
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of neuroimaging data and experience with computer programming, in particular Matlab. You have a strong interest in music. You have good interpersonal skills, are friendly, helpful, and able to contribute to a good
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geologic media As for programming, we prefer familiarity with MATLAB, Python, and C++. Prior experience with high-performance computing (HPC) clusters and Unix operating systems is advantageous. We welcome
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skills in MATLAB and/or Python. Solid background in experimental design, statistics and scientific writing. Willingness to work in a clinical research environment. Excellent time-management, written and
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Experience with signal processing, statistical data analysis, or machine learning techniques. Proficiency in scientific programming (e.g., Python, MATLAB, or similar). Ability to work independently while
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. Knowledge of programming languages (e.g., C, C++, Python, R, Matlab) is preferred. Primary Responsibilities: The successful candidate(s) will be expected to carry out research under minimal supervision