44 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Leibniz in Germany
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recommendations for nature-based climate mitigation and marine biodiversity conservation. SEAGUARD is a joint effort of the IOW, the informatics department of the University of Kiel, and the remote sensing company
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populations. This project will explore the genetic and evolutionary mechanisms shaping adaptation through a combination of genomic, computational, laboratory, and field-based approaches. Research focus
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research group: The Junior Research Group “Evolution of Metabolome Adaptations” is an upcoming research group in the Program Center MetaCom that will be initiated in June 2025. One of the main research lines
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collaboration and mutual learning access to high-performance computing a chance to contribute meaningfully to an ambitious research agenda focused on creating positive impacts for global society and future
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signalling cues that are influenced by YAP/TAZ in a new mouse model Characterisation of the mechanisms by which YAP/TAZ are regulated in cytoplasmic signalling pathways Your qualifications: PhD in Biology
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Partnership Your qualifications: PhD in environmental / agricultural science, (rural) sociology, human geography, political sciences, or related subjects Knowledge of transdisciplinary approaches and methods in
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assistants Your profile: PhD in social, I/O, or experimental psychology experienced in experimental research Interest in designing online interventions Profound knowledge of English Please contact Prof. Dr
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analyse the resulting data Facilitate interactions among consortium partners and assist in organizing project-related visits and workshops Assist in project management Profil: PhD in Biology, Biochemistry
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Mentoring graduate students Your profile: PhD in Ecology or a related field Solid background in (macro-) ecology and biodiversity research. Solid background in zoology preferred but not essential. Advanced
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profile Completed PhD degree in mathematical modeling preferably in the field of evolutionary ecology. Experience with developing mathematical models preferably in the field of evolutionary ecology (e.g