91 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "UCL" "UCL" "UCL" "UCL" scholarships at Nature Careers
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materials synthesis, advanced operando characterization, and lab scale testing. We use robotic, high-throughput methods, and data science to accelerate novel sustainable materials discovery. PhD Position
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use cutting edge machine learning and data mining techniques to gain novel insights and advance our understanding of the rules defining T and B cell immunogenicity. If you are looking for the best
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. We encourage applications from individuals of all backgrounds and are dedicated to upholding equality and respect for our employees and students. General information: Contract Type: Fixed Term Contract
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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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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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biology as well as in physiology, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis. Over the past decade, our institute has pioneered exome and genome sequencing in order to map
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barrier-to-entry for potential applicants; the full proposal request will include additional questions, references, and other accompanying materials. We ask applicants to submit all information through
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biodiversity and functioning (Deadwood2soils) Nitrogen fixation in mycorrhiza and forest soils Linking forest genetics and with operational harvesting data Forest biodiversity – methods for inventory and
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positions in Astronomy, Biology, Computer Science, Chemistry & Materials, Data Science & Scientific Computing, Earth Science, Mathematics, Neuroscience, and Physics , in a world-class research environment