116 engineering-computation-"https:" "https:" "https:" "https:" "U.S" PhD positions at Nature Careers
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the Faculty Board of Science and Technology, and be deemed to have the overall ability required to benefit from the education (Higher Education Ordinance, Chapter 7, Section 35). General entry requirements
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( www.uhasselt.be/en/who-is-who/sophie-hendrix ) and A. Cuypers ( www.uhasselt.be/en/who-is-who/ann-cuypers ) have expertise in molecular plant physiology, redox biology, and biosensor technology. At VIB-UGent, I. De
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field in Electronic, Electrical and Computer Engineering The candidate should have at least 1 work published in prestigious journals and/or conferences, particularly Q1 journals and top-tier conference
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in the Medical Life Sciences program Complete your PhD at Kiel University (CAU), with a doctoral degree awarded either through the Faculty of Engineering or the Faculty of Mathematics and Natural
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no. 101179234. Why apply to the INTERACT programme? INTERACT offers a unique opportunity to join an international and interdisciplinary PhD program within biology/biomedicine, physics, chemistry or engineering
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Requirements: university degree (MSc or equivalent) in the field of aerospace engineering, physics or similar solid knowledge of Physical and Analytical Chemistry (phase changes), Computer Science and
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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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their achievements and productivity to the success of the entire institution. At the Faculty of Electrical and Computer Engineering, Institute of Solid State Electronics, Chair of Coating Technologies in Electronics
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About us VIB.AI, the VIB Center for AI & Computational Biology, is a research center dedicated to integrating machine learning with deep biological insight to understand complex biological systems
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SD- 26053 PHD IN ULTRA-FAST MACHINE-LEARNING INTERATOMIC POTENTIALS FOR NANOINDENTATION OF TIC MA...
PhD candidate to develop and apply ultra-fast machine-learning interatomic potentials (UFPs, Xie et al., npj Comput. Mater., 2023, 10.1038/s41524-023-01092-7 ) for long, multi-million-atom molecular