265 phd-computational-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at University of Manchester in United Kingdom
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/SIMULINK. The research is part of a project to investigate future network performance funded by National Grid Electricity Transmission through the Network Innovation Allowance. You should have a PhD or
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opportunity to work at the intersection of multimodal AI, cancer biology and digital pathology. The successful applicant will have a PhD or MSc with a significant machine learning element and/or experience with
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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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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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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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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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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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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