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PhD Studentship: Efficient Long-Horizon Task Execution in Physical AI (deep learning, computer vision, robotics) Number of awards: 1 Award information: Fully funded PhD studentship covering Home
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PhD student (f/m/d) who wants to take ownership of the software ecosystem behind our computational imaging research – from experimental reconstruction algorithms used inside our lab to robust tools used
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their mechanical microenvironment. As a PhD candidate, you will develop novel computational tools to elucidate these phenomena. This PhD project aims to develop a computational growth and remodeling (G&R) framework
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novel computational tools to elucidate these phenomena. This PhD project aims to develop a computational growth and remodeling (G&R) framework to investigate how cartilage microtissue growth dynamics
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, machine-learned interatomic potentials, molecular dynamics, kinetic Monte Carlo modelling and comparison with experimental data from the Faraday Institution FAST programme. Faraday Institution PhD students
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The Graduate School of Medical Sciences (GSMS) is developing a new blended onboarding programme to help international PhD candidates prepare for their doctoral journey, integrate into the university
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Position - Quantum Computing for Power Systems Security At the Institute of Climate and Energy Systems Engineering (ICE-1), we
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Sciences (GSMS) is developing a new blended onboarding programme to help international PhD candidates prepare for their doctoral journey, integrate into the university community, and settle into life in
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mapping technologies. This PhD would particularly suit candidates with backgrounds in: Artificial intelligence or machine learning Computer science Data science or computational modelling Engineering
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enrolled as a PhD student at the Doctoral School of Engineering and Science in accordance with the regulations of Ministerial Order No. 1124 of September 19, 2025 on the PhD Programme at the Universities and