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Post-harvest pathology Biomarkers, volatiles, and sensors Cold chains and refrigeration technology Data analysis and modelling (R, Python, CFD) Besides that, you have demonstrable experience in project
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a nanoparticle printer, with systematic control of composition and deposition conditions. Characterize samples with micro-XRF composition mapping and SEM, and develop reproducible Python pipelines
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should also have: Demonstrated experience in using Python is an asset. Diversity, Equity and Inclusiveness ESA is an equal opportunity employer, committed to achieving diversity within the workforce and
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and computer programming (e.g. Python); strong communication and scientific writing skills in English. Helpful criteria: experience with Dynamic Adaptive Pathways Planning or other methods from Decision
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research with quantitative system modelling of our research group; experience with systems modeling and computer programming (e.g. Python); strong communication and scientific writing skills in English
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with scripting and programming, eg in R, Python or Matlab and the willingness to learn a new programming language (C); creativity in communication and visualisation of model results in maps and figures
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sources or related laboratory hardware. You are interested in instrument automation and quantitative data analysis. Experience with Python, LabVIEW, or Matlab for instrument control/data processing is
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-domain battery characterisation techniques. Experience with experimental battery testing and analysis of measurement data. Experience with scientific programming and data analysis using Python, MATLAB
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to capture speech planning during comprehension. Strong programming skills in Python and/or MATLAB and/or R. Strong interest in multimodal communication, gesture, language processing and/or neurobiology
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data acquisition or experience in programming and modelling (e.g. Python, MATLAB and LabView) or CAD would be an asset. You should have good interpersonal and communication skills and should be able