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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 Applicants, both Italian and foreigner, must
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challenging for sustainable (‘green’) steel grades, which exhibit a complex microstructural variability. This programme addresses this challenge using tools at the intersection of materials physics
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grades, which exhibit a complex microstructural variability. This programme addresses this challenge using tools at the intersection of materials physics, computational modelling, digitalisation and
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, Cell & Developmental Biology 📊 Biological Physics & Quantitative Biology 🛠️ Bioengineering & Biomaterials If you hold a Master’s (or equivalent) in life sciences, natural sciences, computer
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3rd August 2026 Languages English English English We are looking for a PhD Candidate in Multi-scale, -physics, -fidelity wind modelling for wind farms Apply for this job See advertisement This is
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We are a leading international university where scientific curiosity meets a hands-on mindset. We work in an open and collaborative way with high-tech industries to tackle complex societal challenges. Our responsible and respectful approach ensures impact — today and in the future. TU/e is home...
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: 8856F Leave the 'Research Area' field blank Select ‘PhD in Process Industries; Net Zero (PINZ)' as the programme of study You will then need to provide the following information in the ‘Further Details
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD program aims to train researchers and professionals
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you fascinated by scientific and technological
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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