600 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "https:" "UNIV" "Univ" PhD positions in United Kingdom
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for emergency response coordination. The work aligns with the UK Government Resilience Action Plan which recognises that the UK cannot perfectly predict how risks will unfold, and across all risks requires common
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the University College London (UCL) invites applications for a fully funded 4-year PhD program in Process Systems Engineering. The project will focus on the development of an AI-enhanced design framework for novel
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applicable across emergency preparedness and response settings. For more information, please see: https://www.birmingham.ac.uk/research/centres-institutes/nihr-health-protection-research-unit-in-emergency
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human-animal-computer interaction lens, examining how digital tools shape farmer-cow relationships, perceptions of care, and welfare‑related decisions. The project will investigate how farmers engage with
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Department: Faculty of Science AI Doctoral Training Centre Programme length: 42 months Closing date: 19 April 2026 The Faculty of Science AI Doctoral Training Centre (DTC) invites applications from
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of Science, Agriculture & Engineering: https://www.ncl.ac.uk/sage/ Find out more about our Research Institutes: https://www.ncl.ac.uk/maths-physics/research/pure/ Contact for the post is Chris.Bruce
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previous experience, motivation for Doctoral Research, future goals, and why you are applying to this project. On the application system select Programme of Study – PhD Neuroscience. Please select ‘funding
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to develop, because all of the features associated with the small- and large-molecule drug components must be optimised together. Computational mathematical modelling is used to make the optimisation of ADCs
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research, innovation and engagement, and to create transformative experiences for students to prepare them for life and work. https://www.rmit.edu.au/about https://www.universitiesaustralia.edu.au/university
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human-animal-computer interaction lens, examining how digital tools shape farmer-cow relationships, perceptions of care, and welfare‑related decisions. The project will investigate how farmers engage with