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description You will join an excellent team and collaborate with a diverse group of people working in the field of Robotics and AI. Duties Software-focused Translate existing MATLAB code to Python/C++. Develop
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challenges, and we are currently moving the code to a new python based High Performance Computing enabled modelling framework. This is an exciting opportunity to contribute to a high-impact scientific codebase
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, mathematics, or a related field. Ability to independently conduct large-scale genetic analyses (GWAS). Expertise in bioinformatics/statistics, including programming (e.g., R or Python). We are searching
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competence in Python and Matlab The ability to work independently Good written and oral communication skills in English Contract terms Type of position: Full-time research position Duration: Three months Start
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to the position, including demonstrated independent research and peer-reviewed publications. Proficiency in statistical programming (e.g., R, Python, or similar) is a requirement, as is fluency in spoken and
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, motivation and flexibility at work. Meritorious for the position are: Good programming skills (eg R and/or Python). Miscellaneous The employment is time-limited for one year, however at the latest until on 30
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instrumentation at hard X-ray spectroscopy beamline Leading instrument development projects Combined XAS and X-ray diffraction, including XRD analysis Python programming for data reduction, gui and analysis
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analysis using AI. Solid knowledge of signal processing and machine learning. Proficiency in programming (e.g., MATLAB, Python, C/C++). Strong written and verbal communication skills in English. The
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and production development, mechanical engineering, industrial engineering, or equivalent. experience in programming, preferably Python. fluent in spoken and written English. proficiency with mechanical
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of projects could also be included. Work can include, but is not limited to, development of pipelines in Nextflow or Snakemake, scripting in Python and/or R, and running large-scale analyses efficiently in HPC