82 engineering-computation "https:" "https:" "https:" "https:" "https:" "Simons Foundation" PhD scholarships at Nature Careers
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science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning
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support, lectures by international experts, and annual PhD symposia. Make sure to see the DTU website to find out more: https://micro-path.uni.lu The Luxembourg Institute of Science and Technology (LIST) is
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2,900 work in administration and organisation. We are looking for a/an University assistant predoctoral/PhD Candidate Optical Quantum Computing and Machine Learning 51 Faculty of Physics Startdate
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, Mechanical Engineering, Structural Engineering, or a closely related field. Candidates from Materials Science, Civil Engineering, Physics, Applied Mathematics, or Computational Engineering are welcome
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To strengthen our team in the division “Acoustic and Electromagnetic Methods” in Berlin-Steglitz, starting 01.04.2026, we are looking for a PhD student (m/f/d) in the field of physics or engineering
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or engineering backgrounds. What the Franklin PhD Programme Offers A unique research-focused environment, plus collaborations with leading universities and global companies Access to brand-new labs and industrial
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Fixed term contract | Belvaux | up to 48 Months (14 months initial contract) Are you passionate about research? So are we! Come and join us The Luxembourg Institute of Science and Technology (LIST
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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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The Bernhard Nocht Institute for Tropical Medicine (http://www.bnitm.de/en ) is the largest Research Institute for Tropical Medicine in Germany and is the National Reference Centre for Tropical
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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