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Assistant (m/w/d), Post-Doc, EG 13 TV-H, fixed term-position, part-time (currently 32 hours per week) Assessment of values-based interventions in transdisciplinary processes for sustainability transformations
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: Research Assistant (m/f/d), Post-Doc, EG 13 TV-H, fixed term-position, part-time (currently 32 hours per week) Evaluation of transdisciplinary processes for sustainability transformations Part time position
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Leibniz Institute for Plasma Science and Technology | Greifswald, Mecklenburg Vorpommern | Germany | 5 days ago
» BiochemistryEducation LevelPhD or equivalent Skills/Qualifications PhD in biology, (bio)chemistry, bioinformatics or a related field High affinity to data and large-data-driven science, as well as strong logical
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to 5 and more years. Requirements: • You have a PhD degree (or postgraduate degree MSc) in a computational discipline, preferably with significant experience in Bioinformatics or Computational Biology
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biology, (bio)chemistry, bioinformatics or a related field High affinity to data and large-data-driven science, as well as strong logical understanding Knowledge of statistical analysis and programming
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. The project forms part of the multi-disciplinary SoilSystems Priority Program, involving 16 collaborating research institutions across Germany. Your tasks: Bioinformatic analysis of long- and short-read
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of materials science, biotechnology, microbiology, bioinformatics, life sciences, engineering, or a comparable field Salary group 13 TVöD Temporary contract until 30.09.2028 Full-time / suitable as part-time
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 17 days ago
the molecular processes governing the establishment, maintenance, and breakdown of photosymbiosis in cnidarian hosts. You will generate and analyze high-resolution transcriptomic data to compare host cells and
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Cancer). Your profile PhD in Bioinformatics, Computational Biology, Data Science, or related field. Experience in multi-omics data analysis and/or drug screen data processing. Experience with HPC/cloud
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and optimize large-scale training and inference runs for foundation models on JUPITER (multi-GPU/node, mixed precision, parallelization, I/O optimization) Integrate multimodal data sources (e.g., scRNA