179 fully-funded-phd-program-computer-science-"IMPRS-ML"-"IMPRS-ML" positions at University of Bristol
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or Associate Professor contingent upon skills, qualifications, and experience. Deliver an ambitious, internationally leading research portfolio. Develop portfolios of funding to resource your research programme
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supervisor to discuss. Online applications are made by clicking the 'Apply' button, above. Please select Aerospace Phd on the Programme Choice page. You will be prompted to enter details of the studentship in
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researcher who has recently completed a PhD in Chemistry, Biochemistry or close to completion or related field and expertise in computational chemistry, molecular simulation and machine learning. This project
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degree or equivalent, demonstrating your extensive experience in either catalytic or computational chemistry. Contract type: Open-ended with fixed funding (3 years) Work pattern: Full time / 35 hours per
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need to contact the project supervisor to discuss. Online applications are made via the 'Apply' button above. Please select Engineering Mathematics* on the Programme Choice page. You will be prompted
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facilities, and beyond as appropriate. You have: A good honours degree in Computer Science or a related field. A PhD or working towards one in Computer Science or a closely related discipline, or substantial
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; (5) curate and release open-source code, annotated datasets and pre-trained models (e.g., via GitHub), including concise user documentation/tutorials You have a PhD in biological sciences and have
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The School of Psychological Science seeks to appoint a fixed-term academic on a 2-year contract. The successful candidate will join a growing team of academics, with a particular focus on delivering
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The postholder will join an experienced, innovative team of Social Science academics delivering teaching and research at Bristol Dental School. The role offers an exciting opportunity
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We are pleased to announce an exciting opportunity for a postdoc Research Associate/Senior Research Associate to work on the NERC-funded project “Advancing holistic risk assessment for measures