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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 21 days ago
-driven AI workflows (e.g., task decomposition, planning, tool integration, validation loops) for real-world research scenarios. Develop and maintain production-quality software (primarily Python) to enable
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statistical processing (e.g. R, Python) Knowledge of atmospheric chemistry and/or air quality would be an asset Ability to work independently, scientific rigor, adaptability, teamwork skills, open‑mindedness
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language such as Python or Node.js) would be a plus. The candidate must be able to implement production-ready solutions in adherence to strict timelines, ensuring that deadlines are met, and that
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Python and R. Candidates must be able to perform in international settings, both academic and non-academic, virtual and in person (conditions permitting). Significant travel may be required (conditions
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familiar with data analysis using programming languages like R, and/or Python. You have excellent communication skills and a willingness to collaborate across disciplines. You fit to us: if you have strong
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algorithms for dynamic master selection, coordinating BESS, PV, diesel generators, and other sources. Implement predictive, rule-based, or optimisation-based control strategies using MATLAB/Simulink, Python
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of the world's oldest medical schools. (https://www.igmm.cnrs.fr/en/ ) The Lab: The work will be carried out in the AI for Genome Interpretation (AI4GI) group, led by Dr. Daniele Raimondi. The group focuses
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open-source software packages and set up computational pipelines. As a bio-informatics research lab, we publish software packages in Python and R for specific, cutting-edge analysis of large-scale
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from the School of Physical and Mathematical Sciences with the School of Chemical and Biomedical Engineering. It is jointly run by the College of Science and the College of Engineering (https
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information on Peninsula Medical School please visit our dedicated webpage at https://www.plymouth.ac.uk/schools For this role, you will need to be on site 3 days a week. Although we can accommodate working