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data-driven analysis algorithms for the assessment of thin-film solar cell fabrication processes within NOMAD Oasis installations. The team is responsible for the installation and development of (meta
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-funded AI research group “Fusing Deep Learning and Statistics towards Understanding Structured Biomedical Data (DeSBi)” development of deep neural networks and machine learning algorithms for the analysis
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support, utilizing pharmacokinetics database PK-DB and individualized patient data (more information: https://livermetabolism.com/atlas ) Requirements: - completed scientific university degree in (bio
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1, 2026. For more information, please visit https://torbenottlab.org and/or contact Dr. Torben Ott. The Humboldt-Universität zu Berlin is seeking to increase the proportion of women in research and
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applying machine learning algorithms for solving problems in protein engineering. Written and oral command of English is essential. Research environment The Max Planck Institute of Biochemistry, Martinsried
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Charité–Universitätsmedizin Berlin (Dr. Rosanna Sammons); for further information, see https://www.sfb1315.de/ - development of network models of the CA3 region of the hippocampus - investigation
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intended stay at the Institute copies of university transcripts and proof of language competence (proficiency in English is required) 2 expert opinions Please apply via the online application portal: https
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networks are rewired in response to physiological or pathophysiological stimuli. The project will be conducted jointly with the 'Structural Interactomics Group' led by Prof. Fan Liu (https
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Notice at https://zzf-potsdam.de/en/privacy-notice provides you with comprehensive information on how your personal data is collected, processed and used. It also contains a link to a PGP public key
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their research agenda into one or more of the GIGA’s four cross-regional Research Programmes (see https://www.giga-ham-burg.de/en/the-giga/research-programmes ) . We also expect the successful candidate