259 parallel-and-distributed-computing-phd-"Multiple" positions at University of Manchester
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activities, including lab meetings and other events, lab inductions, and ensure safety systems and procedures are kept up to date and relevant. Assist in the training and support of PhD and project students as
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developing sustainable cement formulations. You must have, or be about to complete, a PhD qualification (or equivalent) in a relevant academic field. The primary aim of this research project is to develop and
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approach is one of the distinctive features of data science at Manchester. You should have a PhD (or equivalent) in statistics or a similar field, and be developing your publication record. You should have
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post holder(s) will be expected to hold a PhD and/or equivalent professional experience in a relevant cognate area for the teaching of courses in the following disciplines: Management and Information
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; synthetic biology; analytics and computer science. The successful applicant should have a strong background in biocatalysis and directed evolution and a good understanding of the industrial biotechnology
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supervised by Prof. Peter Scott, Director of the Lincoln Theological Institute. Tenable period The award is tenable for 3.5 years from September 2025- covering the full PhD programme in PhD Religions and
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invites applications for our NIHR Clinical Lectureships. You will join our successful Integrated Academic Training (IAT) programme which is funded by the National Institute of Health Research (NIHR
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Overall Purpose of the Job We are looking for an enthusiastic researcher with a PhD in statistical genetics, genetic analysis, bioinformatics or health data science or equivalent. The successful
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November 2025, or soon thereafter, for 1 year in the first instance, with the potential for renewal for another year. The post is part of a BBSRC-funded research programme (PhotoOxyMap), seeking to design
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reinforcement learning, computational rationality and user modelling, and simulator-based inference. The post-holder will work on a project from Professor Kaski’s UKRI Turing AI World-Leading Fellowship. Research