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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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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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collecting and analysing EEG data. You have experience with common programming languages such as Matlab, Python, R or C++. You are a team player who possesses good social, communication and organisational
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such as space, aviation, automotive, rail or medical; experience with data analysis and modelling tools, such as Python or MATLAB, including handling of datasets used for training, testing and validation
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comfortable working with optics, fluidics, detectors, light sources or related laboratory hardware. You are interested in instrument automation and quantitative data analysis. Experience with Python, LabVIEW
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related field. You have a strong background in numerical modelling and programming (preferably Python). You will collaborate with colleagues who are AeoLiS and CFD specialists, so affinity with
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requirements and priorities. Strong skills in data analysis, image processing, and programming (e.g., Python/C++). Demonstrated experience in publishing scientific journal papers. Fluent in English (oral and
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proficiency in coding, at least using Bash and Python. Applicants should maintain their code in a public repository (e.g. GitHub) and include the link in their application. Proven skills in Linux/HPC
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mitigation approaches Familiarity with various mitigation regulations and guidelines Familiarity with computational tools such as Python You should also have good interpersonal and communication skills and
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development, spin simulations, or MR signal modeling is highly desirable. Strong programming skills, for example in Python, MATLAB, C/C++, or a comparable scientific computing environment. Experience with