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. Florian Kaiser · Work location: Luxembourg Institute of Science and Technology (LIST), BelvaL, Luxembourg · PhD enrolment: University of Luxembourg, Belval, Luxembourg
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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in Germany. It offers a modern, interdisciplinary, and international
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(sebastien.faye@list.lu ) Work location: Luxembourg Institute of Science and Technology (LIST), Belval, Luxembourg PhD enrolment: University of Luxembourg, Belval, Luxembourg Candidates shall be available
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PhD scholarship in Biomaterials-based Approach for the Creation of Artificial Red Blood Cells - D...
disciplines, and publish in leading journals Hold a full-time, paid position for 3 years with benefits and a structured PhD training program About the research group You will join the Biomimetics, Biocarriers
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work #PhD Buddy Program #family-friendly company policy with childcare facilities, e. g. nursery close to the company #free assistance program for employees (EAP) #corporate benefits #a varied offer in
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students who are eager to develop and apply artificial intelligence techniques and mechanistic mathematical models to explore fundamental questions in biology. The PhD program is organized in partnership
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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally oriented
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candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules
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of microbiology and laboratory automation. We are looking for a highly motivated PhD candidate with a strong engineering mindset and a keen interest in AI, automation and microbiology. Prior experience in
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Bioinformatics, Computational Biology, Computer Science, Biomedical Engineering, Computer Engineering, Genetics/Genomics or related field experience with ‘omics platform output experience with biological datasets