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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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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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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
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control and related). Experience with experimental methods and data acquisition systems like LabView or similar systems will be beneficial Strong, proven programming skills in Python. Proficient in written
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statistical analyses more robust. We are looking for a research assistant to contribute to the development of bamojax(link is external) (Bayesian modelling in JAX), our open-source Python toolbox
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science, spatial analytics, or a related field; experience with diverse spatial analytical methods; strong programming skills (e.g., Python) and version control (e.g., GitHub); experience working with multi
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steps. You have experience with R or Python and feel comfortable working with large language models or you would like to develop your skills further in these areas. You ask critical questions about AI
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interest in the human brain. Programming experience (Python, MATLAB) and proficiency in spoken and written English is required. Experience with or an interest in microscopy, quantitative image analysis
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with scientific programming and quantitative data analysis, particularly in Python, is welcomed. Experience with droplet generation, thermal diagnostics, image processing, or automated experimental
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of the selection process. You should also have: Strong analytical skills Strong knowledge in MS Excel and PowerBI or Tableau, as well as in one or more of the following: Python, R, SQL Experience with Machine