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, implementation, analysis of experimental results), Skills in writing scientific articles in English, Skills in organizing multi-partner scientific work, Excellent skills in programming languages (Python, Matlab
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
visualization. The postdoctoral researcher will be hired either at the Department of Culture and Language (https://www.sdu.dk/en/om-sdu/institutter-centre/iks ) or at the Department of Mathematics and Data
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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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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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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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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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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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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