114 structural-engineering "https:" "https:" "https:" "https:" "VIETNAMESE GERMAN UNIVERSITY" PhD positions at Nature Careers
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combine interdisciplinary research in molecular, structural, and cell biology as well as in physiology, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis. The Eble group investigates
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. To this end, we combine interdisciplinary research in molecular, structural, and cell biology as well as in physiology, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis. The Schlatt
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About us The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine (FSTM
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@au.dk Formalities and salary range Technical Sciences refers to the Ministerial Order on the Appointment of Academic Staff at Danish Universities under the Danish Ministry of Science, Technology and
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molecular mechanisms of autophagy initiation and membrane dynamics by combining in vitro reconstitution, structure-function studies, biochemistry and cell biological approaches. We are seeking a highly
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with: Genuine interest in Finance, Economics or Statistics/Econometrics Strong quantitative and computational skills Candidates with a degree in Mathematics, Physics, Computer Science, Engineering or
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biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics, untargeted metabolomics, or other biological high-throughput datasets
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accelerators for science. Currently, the new FAIR (Facility for Antiproton and Ion Research) one of the world's largest research projects, is under construction through international cooperation. GSI and FAIR
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About the FSTM The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine
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measure gravitational effects on entangled photons for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning