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physics, with experience in thin-film deposition, device fabrication, and electrical transport measurements Familiarity with the theory of magnetism Proficiency in MATLAB/Python and LabVIEW for data
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governance. Proficiency in SPSS, Python, R, or MATLAB for data analysis and visualisation. Experience in designing and evaluating exercise/prehabilitation programmes. Track record of publications and ability
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applications in healthcare Proficiency in CAD software and 3D printing technologies Strong programming skills (e.g., Python, C++, MATLAB) Excellent written and verbal communication skills Ability to work
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simulate electrical and propulsion system models for full electric harbour craft using MATLAB/Simulink. Model key onboard components including battery energy storage, power converters, propulsion motors, and
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(e.g., Python, Julia, Fortran, C++, MATLAB) and experience with high-performance computing environments Demonstrated publication record in reputable peer-reviewed journals Excellent written and oral
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well as with a team. He/she is preferred to have experiences in: Microfluidic design and fabrication MatLAB and/or Python proficiency for data processing PCB designing and/or microprocessor programming (ARM
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programming language would be valued (e.g. Python, Matlab…) Self-driven, highly motivated, with interest to work with other researchers and scientists (as a team player) to produce high-quality research. We
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., MatLab, Python, Modelica, C, ForTran, etc. We regret to inform that only shortlisted candidates will be notified. Hiring Institution: NTU
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transport measurements Familiarity with the theory of magnetism Proficiency in MATLAB/Python and LabVIEW for data acquisition and analysis Good written and oral communication skills Ability to work
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measurements, awareness of noise, efficiency, and timing trade-offs in low-light imaging. Applicants should have competence in data acquisition/analysis and scripting for instrument control (e.g., Python/Matlab