323 computer-programmer-"Prof"-"Humboldt-Universität-zu-Berlin"-"UCL"-"Prof" PhD positions in United Kingdom
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to the Vienna Scientific Cluster (VSC) super-computing facility. As a member state of ESO and ESA , Austria has access to their first-class observing facilities. Good public transport connections: Your working
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
computing facilities. The Centre supports research in digital twins, knowledge-based systems, AI, and immersive technologies such as VR and AR. The candidate will work independently and collaboratively with
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located in Central Cambridge, Cambridgeshire, UK. The key research and scholarship responsibilities and duties of this role are: Plan and manage research activities. Support an investigation into carbon
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for candidates with a background in meteorology, climatology, physics, engineering and any related discipline, and a strong interest in applying advanced physical and computational methods to real-world
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or industry engagement events etc) Organisational: Evidence of an ability to prioritise, plan, and execute tasks within a larger project. Demonstrated ability with time management, organisation, and balancing
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admissions criteria can be found under 'Available Projects' and then selecting the PhD programme information for that specific project. - The University of Melbourne admissions criteria can be found
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contract(s) at the University of Vienna and type of contract(s) e.g. prae-doc or project staff Teaching duties why the original time plan needs to be extended (e.g. personal circumstances, care duties
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and informal situations. Present findings in academic conferences and community forums. Plan and manage own research workload in accordance with project timelines and deliverables. Commit to ongoing
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Research Group at the Faculty of Engineering which conducts cutting edge research into experimental and computational heat and mass transfer, multiphase flows, thermal management, refrigeration, energy
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Engineering, Computer Science or related disciplines. Experience in autonomous system, manufacturing/robotics and machine vision development will be an advantage. To apply please contact the supervisor, Dr Kun