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Boehringer Ingelheim International GmbH | Biberach an der Ri, Baden W rttemberg | Germany | about 6 hours ago
, with translational relevance to Human Pharma. Eligibility requirements: PhD or equivalent degree in bioinformatics, computational biology, systems biology, molecular biology, veterinary medicine, life
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this new hybrid network. Your code will directly enable the next generation of energy-efficient AI clusters. Project scope You will bridge the gap between custom optical hardware and standard AI software
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electronic converters in transmission networks. HVDC interconnections, offshore grids, long underground cable systems and grid-forming technologies are fundamentally changing power system dynamics. Ensuring
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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
discovery, machine learning, and data science. The position will provide the opportunity to develop applied research skills in machine learning, interact with an international network of collaborators, and
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harvesting and cooling. Degree: PhD in one of the following fields (or similar): Materials Science and Engineering, Chemical Engineering, Electrical Engineering, Nanoscience and Nanoengineering, or Applied
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as well as MSc and PhD programmes. Further information may be found at: http://www.kcl.ac.uk/physics About the role: We are seeking a highly motivated and experienced researcher, holding a PhD in
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to PhD level in an area related to Computer Science, the applicant will be proficient in software development, systems administration, networking and cloud. This is an invaluable opportunity to develop
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human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five centers and institutes that focus
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and supervision of students at the bachelor's, master's, and PhD levels. Qualifications for the postdoctoral position Academic qualifications at PhD level in animal or veterinary sciences. Research
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-level approach, from genes and molecules to neural networks and psychosocial systems”, PN-IV-P6-6.1-CoEx-2024-0139 Where to apply E-mail [email protected] Requirements Research FieldPsychological