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level Remuneration according to TV-L incl. occupational pension plan and capital-forming payments 30 days of vacation per year Flexible working hours Possibility of part-time work Family-friendly working
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. Our program focuses on understanding hostpathogen interactions across species (mice, chickens, pigs, dogs) using well-established viral (e.g., Marek's disease virus, Theiler virus, Hepatitis E
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programming languages such as R or Python Experience with multiome data analysis (e.g. methylomics, Lipidomics, Proteomics, ATAC-seq) Proven experience with advanced computational methods such as deep and
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research program focused on developing next‑generation multimodal imaging systems spanning the mesoscopic to microscopic scale. As part of a major research project and supported by extensive national and
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opportunity to learn the process and challenges of drug discovery from the inside, including additional training and mentoring program. In addition, benefit from the rich packages for employee benefit. Our most
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many-body physics and space-time; quantum programming languages and formal methods; mathematical and computer science foundations and connections. Please see here for more information about the positions
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development Interesting, varied and challenging tasks and family-friendly working conditions Company pension plan (VBL) Company health promotion and the opportunity to participate in company fitness with EGYM
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training and further education programs at our UKE Academy for Education and Careers Opportunities to contribute to our “UKE INside” personnel policy through cross-professional and cross-hierarchical
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Remuneration according to TV-L incl. occupational pension plan and capital-forming payments 30 days of vacation per year Flexible working hours Possibility of part-time work Family-friendly working environment
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Max Planck Institute for Astrophysics, Garching | Garching an der Alz, Bayern | Germany | about 1 month ago
for Galactic cartography within the framework of the Milky Way Atlas (MW-Atlas) project, an ERC-funded research program. The project is jointly led by Torsten Enßlin (MPA, Garching), Philipp Mertsch (RWTH Aachen