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earlier as well as understand the mechanisms driving CIN. This project will aim to build upon previous work within the group developing computational methodologies to detect and deconvolute the mutational
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will need to contact the project supervisor to discuss. Online applications are made by clicking the 'Apply' button, above. Please select PhD in Mechanical Engineering on the Programme Choice page. You
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. The successful applicant will investigate the structure, dynamics, and motility of the bacterial Type IV pilus (T4P) machinery in the model organism Thermus thermophilus using theoretical modelling, simulation
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or PhD in Computer Science, Data Science, Artificial Intelligence, or a related field. Proven experience with LLM frameworks (e.g., ollama, langchain) and fine-tuning techniques. Minimum Experience: 3
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workshops.The PhD students will focus on using state-of-the-art computational and statistical techniques to shed light on the fundamental mechanisms of decision-making.We are particularly interested in candidates
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and present the results at national and international conferences. It is essential that you hold a PhD/DPhil in computational biology, genomics, bioinformatics, computer science, statistics, or a
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start dates: 1 October 2025 (Enrolment open from mid-September) Supervisors: Hari Arora (Biomedical Engineering), Richard Johnston (Materials) and Iain Whitaker (Medicine) Aligned programme of study: PhD
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Applicants are invited for the above vacancy in the Division of Informatics, Imaging and Data Sciences, University of Manchester. You will join the Division and take responsibility for an area of
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. • To assist in the training of PhD Students and other members of the LMB. Key responsibilities: Within the overall direction of the programme, the group, the remit of the project and in discussion with
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processes and seismic source mechanisms during eruptive transitions. This will not only create significant new insights into changing volcanic behaviour but is also important to other elements of the project