55 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr" positions at Nature Careers in Germany
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of Antarctic Marine Living Resources (CCAMLR), which aims to manage the fishery sustainably through ecosystem-based approaches that incorporate data on predator populations, ecosystem state, and krill abundance
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of the Konstanz Research School Chemical Biology (KoRS-CB), an interdisciplinary graduate school of the Departments of Biology, Chemistry and Computer & Information Science. Our doctoral researchers are supported
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for further information on the open positions and the scope of the CRC DEFINE – starting date: April 1, 2026 – www.uni-marburg.de/en/trr425/open-positions
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PostDoc in "Sustaining the keystone: Rethinking Antarctic krill fishery management under climate ...
and fastest-growing fishery in the Southern Ocean, regulated by the CCAMLR, which aims to manage the fishery sustainably, relying on ecosystem-based approaches incorporating data on predator populations
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analyses, data interpretation, and visualization of clinical trial datasets Perform comprehensive bioinformatics and statistical analyses of high-dimensional omics datasets (spatial, single-cell, and bulk
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2330). More information about the Vogel lab can be found at www.helmholtz-hiri.de/en/ . Applicants should have a doctoral/PhD degree in molecular biology, microbiology, or biotechnology. Further
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interdisciplinary research in molecular, structural, and cell biology as well as in physiology, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis. In this project, we will elucidate
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samples or reference projects with your application materials. Please refrain from sending a photo. For further information please contact JobsHZI@helmholtz-hzi.de
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initiatives at the interface of biology, AI, engineering and medicine. You will be part of a collaborative and forward-thinking team, contributing to the MDC’s vision of advancing human health through data
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), deep learning, and multimodal data integration. The ideal candidate will be able to design and apply AI/ML approaches to high-dimensional datasets, including single-cell omics, chromatin profiling, and