618 computational-physics "https:" "https:" "https:" "https:" "Ulster University" PhD positions in United Kingdom
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predictive accuracy and prohibitively long computational times, making them unsuitable for real-time process control. Artificial intelligence (AI) models present a promising alternative by addressing
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recruitment process. Further details about eligibility and funding can be found at: https://www.ukri.org/councils/esrc/career-and-skills-development/funding-for-postgraduate-training/eligibility-for-studentship
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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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Applications are invited for an ESRC-funded North West Social Sciences Doctoral Training Partnership (NWSSDTP) PhD studentship (with potential to apply for 1+3 award) at the University of Central Lancashire. The studentship is for up to 3.5 years full time (tuition fees and annual stipend at the...
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The Crop Innovation Centre - Skills, Technology and Research Training Programme (CIC-START) is an industrial doctoral landscape award (IDLA) funded by BBSRC that tackles skills shortages in UK
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2026. We recommend that you apply early as the advert may be removed before the deadline. This PhD project will develop generative hybrid models that integrate AI foundation models with physical
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interview process. RCUK eligibility: No Eligibility: Essential criteria: First-class or upper second-class Honours degree (or equivalent) in social science related discipline. A Masters degree in social
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process: http://nottingham.ac.uk/ComputerScience/Studywithus/Postgraduateresearch/NottinghamDTCinAI.aspx Entry Requirements: Applicants are normally expected to hold a 2:1 Bachelor’s degree or Master’s
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degree or international equivalent in a subject relevant to the proposed PhD project (e.g. Geoscience, Civil Engineering, Physics, or Computational Science). Enthusiasm for research, the ability to think
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accuracy is still limited. In contrast, computational fluid dynamics (CFD) models can capture the arc physics and molten pool dynamics, including arc energy transfer and liquid metal convection within