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Senior Researcher in Design and Operation of Sustainable Biomanufacturing Processes - DTU Chemica...
are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates
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Artificial Intelligence (applied mathematics, computer science, etc.), or a thesis defense scheduled for 2025. • Research contributions in deep learning, statistical learning, natural language processing (NLP
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biology, biochemical as well as micobial and bioinformatics techniques to study translational aspects of colon cancer (e.g. Cre/loxP and Flp/FRT based dual- and triple recombinase systems, orthotopic
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between information systems, computer science, and energy markets Support the conceptualization and writing of research proposals to attract industry partnerships as well as national and European grant
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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PhD scholarship in Biomaterials-based Approach for the Creation of Artificial Red Blood Cells - D...
for you? As a PhD student in our group, you will: Be trained at the forefront of biomaterials, synthetic biology, and drug delivery science Have hands-on access to world-class infrastructure and cutting
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are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates
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the Reinhart-Koselleck programme for innovative high risk-high gain research. Requirements: university degree in chemistry or physics and profound knowledge in computational and theoretical physics/chemistry
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DTU’s Tenure Track program. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission