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. Further information can be found at https://envs.au.dk/en/. The Environmental Microbiology section conducts research and science-based policy advice targeted towards the understanding of the fate and role
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interest and some knowledge of host-microbiome systems and evolution. PhD Programme Description: The PhD programme is a three-year full-time research education within the framework of the 5+3 scheme
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. Please find and follow guidelines and further information on PhD scholarships and the PhD Program at https://www.cbs.dk/en/research/phd-programme Details about CBS and the Department of Marketing
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(NIVI-D): A company that focuses on translational sciences and advancing vaccine development. NIVI-R conducts scientific research, while NIVI-D works to quickly turn that research into new vaccine
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DTU Tenure Track Assistant Professor in Surface Physics and Catalysis for Sustainable Energy Solu...
Are you ready to develop, refine, and lead cutting-edge ultra-high vacuum (UHV) methodologies for surface science and catalysis in sustainable energy conversion? Technical University of Denmark (DTU
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description EGB invites applications for a
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At the Faculty of Medicine, Department of Health Science and Technology a PhD stipend is available within the general research programme: Biomedical Science and Engineering. The stipend is open for
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at http://www.envs.au.dk/en/. The department is located at Risø Campus in Roskilde 35 kilometers west of Copenhagen. The selected candidate will be affiliated with the Environmental Social Science and
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Two DTU Tenure Track Assistant Professors in Autonomous Modelling and in Robotic Synthesis of Ene...
and robotics. As the successful candidate, you will develop innovative research programs spanning atomistic and mesoscopic materials simulations, machine learning, foundation and surrogate models
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results at international conferences Your profile PhD degree in Bioinformatics, Computational Biology, Computer Science, Mathematics, Physics, or a related field Experience with programming in Python, R