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Field
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physiology Language skills (English) Intermediate programming skills (R, Python or Matlab) Creative thinking Level of enthusiasm and motivation As a formal qualification, you must hold a PhD degree (or
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. Thermal and high-speed imaging: calibration and quantitative interpretation of these measurements. Data analysis: MatLab and/or Python. Specific Requirements Knowledge: Thermodynamics and heat and mass
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others. Preferred Knowledge, Skills and Abilities: ●Knowledge of standard laboratory procedures for manure and mortality management and analysis. ●Proficiency in Python, R, or MATLAB for data analysis
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-level optimisation using TRNSYS and MATLAB/Python. The associate will use advanced characterisation (e.g., DVS, porosimeter, DSC/LFA) to develop and assess adsorption composites, and apply CFD to analyse
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or neuroimaging data analysis. Skills in statistics, programming (R, Python, or MATLAB), and preferably familiarity with MRI (ASL, QSM) or biomarker research. Strong motivation to work across disciplines and
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modelling tools (MATLAB/Simulink, PLECS, LTspice, etc.). Experience with hardware-in-the-loop (HIL) environments (RT Box, Typhoon HIL, dSPACE, etc.) is a strong plus. Familiarity with battery systems, flow
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to the subject area. The candidate’s doctoral degree should be primarily focused on computed tomography, image analysis or similar. Essential criteria are: Demonstrated experience in programming (e.g., Python, MATLAB
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LabVIEW scripts and APIs for target-specific applications, working with data acquisition (DAQ) systems, and proficiency in MATLAB, Python, and LabVIEW. Capable of working independently and as part of a
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and/or Matlab programming. * Good written and oral communication skills, be willing to take direction, and be able to work with others as part of a project team. Preferred Knowledge, Skills, and
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with neuroimaging analysis software Strong quantitative and analytical skills, including experience with statistical software (e.g., R, Python, MATLAB). Excellent written and verbal communication skills