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control system that enhances Annual Energy Production (AEP), reduces mechanical stress, and improves fault detection using machine learning (ML) and physics-based modelling. The candidate will gain hands
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programme . This project is suitable for a student with a first-class degree in engineering, chemistry, physics or a closely related physical science. How to apply Applications should be submitted via
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In the Leibniz Institute of Plant Biochemistry, the research group Symbiosis Signalling invites applications for a PhD position in biology (m/f/d) (17/2025) (Salary group E13 TV-L, part-time 65
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disciplines: biology, chemistry, physics, and medicine;-Participation in international conferences and exchange programmes, e.g. STER;-You can prepare yourself to conduct high-profile research at academic
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level equivalent to a two-year master's degree. The ideal candidate will have a background in photonics and condensed-matter physics. You should have a passion for theoretical and computational physics, a
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with Professors Serena Best and Ruth Cameron at the Cambridge Centre for Medical Materials in the Department of Materials Science and Metallurgy. The SHIELD Doctoral Network offers an exciting
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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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co-supervision of student projects) Profile A master's degree in engineering, environmental sciences, or physics. Strong interest in experimental fluid mechanics. Experience with experimental (fluid
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undergraduate units in computer science or coding experience gained through Honours or Masters research work Local and international students are welcome Full-time onshore enrolment Application process Any future
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Engineering, Computational Engineering, Engineering Mathematics, Engineering Physics or similar* You will need strong written and verbal communication skills in English Documented experience (education/courses