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coursework in thermal-fluid system design. Experience with CAD tools such as Solidworks and simulation tools such as MATLAB or EES will be a plus. Requirements: Must be a College of Engineering student
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preparation, and inventory management Ensuring adherence to lab safety protocols and regulatory compliance Analyzing experimental data using standard tools (e.g., MATLAB, ImageJ, Excel) and assist in preparing
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Qualifications Experience with Matlab, Phyton, C++ or other programming languages. Experience with remote sensing (multispectral and thermal IR). Experience with LiCOR measurements. Experience with machine
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Qualifications Experience with Matlab, Phyton, C++ or other programming languages. Experience with remote sensing (multispectral and thermal IR). Experience with LiCOR measurements. Experience with machine
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Environmental Engineering or a related field High proficiency in programming languages (e.g., Python or MATLAB) A strong record of authorship in peer-reviewed academic journals Excellent interpersonal and
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inversion techniques and signal processing. Strong programming skills, Proficiency in scientific computing (e.g. Python, MATLAB, or similar) for algorithm development and data handling. Experience with sensor
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experience working in MATLAB and / or Python and experience working with either EEG or fMRI. Ideal candidates will have a background in Psychology, Psychiatry, Neuroscience, Cognitive Science, or Biomedical
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of machine learning and multivariate statistical techniques for interpreting large-scale hydrodynamic and climatological datasets. Strong programming skills (e.g., Python, R, MATLAB, Fortran) and familiarity
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• Experience performing experimental and theoretical characterization of acoustic fields and cavitation monitoring • Proficiency in programming, particularly Matlab or Python • Experience using the Verasonics
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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