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Application deadline: 8 January 2027 at 12pm (UK time) The UCL EPSRC Doctoral Landscape Award (UELA) is recruiting for approximately 50 fully funded, 4-year PhD studentships, starting in October
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The GW4 BioMed3 Doctoral Landscape Programme is offering up to 18 MRC funded studentships across a range of biomedical disciplines, with a start date of October 2027. These four-year studentships
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The GW4 BioMed3 Doctoral Landscape Programme is offering up to 18 MRC funded studentships across a range of biomedical disciplines, with a start date of October 2027. These four-year studentships
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innate immune cells, play an important role during tumour evolution. The PhD project will build on ongoing work in different cancer types (pancreatic, breast, ovarian and lung), where we have already
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. The studentship will start on 1st January 2027. Project Description This PhD focuses on developing and deploying underwater cameras systems to reveal patterns of habitat use by inshore fish assemblages and to
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reservoir heterogeneity. This project will integrate core observations, wireline logs and seismic data to develop geological and petrophysical models that constrain reactive reservoir simulations
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Mechanical Interaction (PCMI) Benchmark’ exercises. Based upon the validation exercise, highlight areas of future code development, including routes to modelling postulated idealised loss-of coolant accidents
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student experience by supporting lead academics with classroom and lab teaching and assessment, further building the skills developed within your PhD research programme. The position is grade 6 with a
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The GW4 BioMed3 Doctoral Landscape Programme is offering up to 18 MRC funded studentships across a range of biomedical disciplines, with a start date of October 2027. These four-year studentships
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4-year PhD fellowship in the Research Programme - Deep Learning-Accelerated Crystallography Pipeline
determination by developing mathematical methods and integrating machine learning into crystallographic workflows. The successful candidate will develop theoretical and computational approaches to improve