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Field
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builds upon the New Materialist “new analytic” of Thinking with Theory, while emphasizing nonhumans that are given shape through and carry knowledge in HCI and Interaction Design research, i.e
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machine learning for time series, geospatial data or dynamic models; ideally experience with deep learning frameworks (e.g., PyTorch). Strong analytical and conceptual skills for designing and interpreting
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field of multiphase flow modelling. Contact Dr Nadimi (sadegh.nadimi-shahraki@ncl.ac.uk) for more information. Number Of Awards 1 Start Date 1st October 2026 Award Duration 4 Years Application Closing
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Funding: The studentship is supported for 3.5 years and includes Home or International tuition fees plus a stipend of £20,780 per annum 2025-26 rate (2026-27 rate TBC) Lead Supervisor (DoS): Dr Lee
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both analytical and numerical calculations. The PhD candidate should have (or about to complete) an undergraduate or masters degree in Physics or a closely related subject (preferably first class degree
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analytical thinking and creativity ability to work effectively in a team and project environment good knowledge of scientific research methodology willingness to continuously improve qualifications active
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range and vast number of influencing factors makes understanding, preventing, and treating these behaviours highly challenging. This is further hindered by a lack of diverse big data resources and matched
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to substantial healthcare savings. This studentship is ideal for candidates passionate about applying engineering innovation to address unmet clinical needs. During your PhD, you will gain
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5 Oct 2025 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Chemistry » Analytical chemistry Chemistry » Biochemistry Researcher Profile First Stage
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About the Partnership This project is one of a number that are in competition for funding from the NERC Great Western Four+ Doctoral Training Partnership (GW4+ DTP). The GW4+ DTP consists