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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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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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-omics analyses is an advantage; Basic proficiency in data analysis using R, Python, and/or Matlab, with a strong interest in computational methods, including AI-enhanced analyses; Excellent skills in
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strong background and demonstrated experience in mathematical optimisation, in particular mixed-integer programming. Excellent programming skills (e.g., Python, Julia, Java, or C++) and experience with
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collaborate across disciplines, preferably with an interest in translating insights from computer science to the social sciences, and vice versa; Experience with programming in Python, or otherwise in R and/or
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. Solid programming skills (e.g. C++ and Python); experience with GPU computing (CUDA), high-performance computing or machine learning is a plus. A strong interest in radiative transfer, clouds and
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data sets, for example weather and/or climate model and/or satellite data; You have good programming skills (Python, shell scripts, and/or comparable experience); Prior knowledge and research experience
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control, or a closely related discipline. A strong background and demonstrated experience in mathematical optimisation, in particular mixed-integer programming. Excellent programming skills (e.g., Python
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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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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