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the Humanities/ Social Sciences disciplines, to join the Wellcome Trust funded discovery project After the end: Lived experiences and aftermaths of Diseases, Disasters and Drugs in global health
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leveraging advanced materials science and operando spectroscopy techniques, the research seeks to develop porous catalysts specific for nonthermal plasma catalysis system to improve the energy efficiency
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they meet the following criteria: A first-class honours degree (or equivalent) in Engineering, Materials Science or Physics Excellent written and spoken communication skills in English Strong mathematical and
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study. The student would be based in the Washington Singer Building in the Faculty of Health and Life Sciences. GABA (gamma-aminobutyric acid) is the brain’s principal inhibitory neurotransmitter, playing
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the Humanities/ Social Sciences disciplines, to join the Wellcome Trust funded discovery project After the end: Lived experiences and aftermaths of Diseases, Disasters and Drugs in global health
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, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. To apply please contact the supervisor, Dr Jane Wood - jane.wood-2
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, ultimately optimising the deposition process. Additive manufacturing (AM) is a rapidly advancing technology, driving numerous innovations and finding diverse applications across industries such as aerospace
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The University of Exeter’s Department of Public Health and Sports Sciences is inviting applications for a 4 year PhD studentship funded by Yeo Valley to commence in October 2025 or as soon as
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Project summary: A PhD student is sought to undertake a project jointly funded by University of Strathclyde and National Manufacturing Institute Scotland project. The project aims at researching a new sustainable femtosecond laser nanomanufacturing process to overcome the challenges of atomic...
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, these systems serve as complex functional approximators trained over an input-output data set. ‘Second Wave AI’ is the term used to describe the current glut of 'machine learning' style intelligence, where