24 programming-"the"-"DAAD"-"U"-"IMPRS-ML"-"FEMTO-ST"-"Prof"-"UNESP"-"St" "Dr" positions at Cranfield University
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undergraduate degree) or a PhD (or be close to completion) in a STEM discipline such as Computer Science, Data Science, Engineering, or Artificial Intelligence. This role requires strong programming skills (e.g
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type(s)PhD Duration of award3 years EligibilityUK, EU, Rest of world Supervisor Dr. Gustavo Castelluccio is a leader in Mesoscale Mechanics. His work integrates multiscale models and experiments
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Develop practical, industry-transforming technology in this hands-on PhD program focused on immediate industrial applications. This exclusive opportunity places you directly at the interface between
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Framework Programme? Not funded by a EU programme Reference Number 5122 Is the Job related to staff position within a Research Infrastructure? No Offer Description Faculty of Engineering and Applied Sciences
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. This project is self-funded, allowing for flexible and ambitious research direction, and will be supervised by Dr. Stefano Tedeschi, leveraging his expertise to ensure academic rigour and practical relevance
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Champions Programme. We are committed to actively exploring flexible working options for each role and have been ranked in the Top 30 family friendly employers in the UK by the charity Working Families . Find
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at Cranfield We are committed to fostering equity, diversity, and inclusion in our CDT program, and warmly encourage applications from students of all backgrounds, including those from underrepresented groups
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apparatus equipped with thermocouples and thermal imaging to simulate realistic runaway events. Top-performing coatings will be validated in situ on live EV cells under controlled runaway conditions. Dr
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pressure to reduce both energy demand and chemical consumption. Project SandSCAPE, an Ofwat-funded programme, tackles this challenge by integrating purpose-built robots that skim slow sand filter beds while
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environments, offering state-of-the-art facilities and strong industrial collaborations. The project will be supervised by Dr Gregory Bizarri, an expert in radiation–matter interactions, computational modelling