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the next generation of gas turbine engines. Successful candidates will have a PhD or equivalent in a relevant discipline and experience in the development of machine/deep learning (ML/DL) methods
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material for publication and dissemination. This post is full-time (35 hours per week). The salary for this post is £41,064 to £48,822 per annum. Your skills and attributes for success: PhD, or PhD near
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will be advantageous. Knowledge of machine learning or reinforcement learning techniques will be advantageous. Proficiency in algorithm development using Python will be advantageous
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holder’s collaborators in Germany and in the US. Further information on the grant holder is available at: https://www.southampton.ac.uk/people/628nx8/doctor-bismark-singh . Informal enquiries may be made
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from Deepfakes Project. We are looking for a software/machine learning engineer (or similar) to work in an interdisciplinary team reporting to Dr Sophie Nightingale (Principal Investigator). The Project
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tools, collaboration with project stakeholders, and engagement with the consortium and Defence and Security stakeholders. Technical Requirements: Strong coding skills with background in machine learning
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maintenance allowance Return economy airfare Conference and fieldwork grants Overseas medical insurance Fellows will also each be assigned a SIT faculty mentor throughout their post-doctoral training and have
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. The post is available from 01 May 2026 and is funded by the UK DRI at UCL for one year in the first instance. If you need reasonable adjustments or a more accessible format to apply for this job online, or
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Generous holiday allowances, flexible working, pension scheme and relocation package (if applicable). Contact: Dave Hodgson, d.j.hodgson@exeter.ac.uk This full-time post is available from April 2026
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exciting project that will develop new approaches to handle missing data in statistical analyses based on machine learning methods. The Research Fellow will be based in the Department of Medical Statistics