22 postdoctoral-image-processing-in-computer-science-"EPIC" research jobs at University of Newcastle
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, especially those with expertise in human beta-cell/islet culture. This post is fixed term for a period of 12 Months. If you have any queries, please reach out to Catherine.Arden@newcastle.ac.uk or Bill.Scott3
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Knowledge, Skills and Experience Proven experience with machine learning model design and implementation, particularly in computer vision tasks (image classification, object detection) Strong programming
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research aligned with the Materials, Concepts and Reaction Engineering Group [1]. As this position will be funded by a specific research grant [2], you must have experience in laboratory experiments with ion
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number of health and wellbeing initiatives to support you. Closing Date: 01 September 2025 The Role The EPSRC have renamed the previous EPSRC DTP Doctoral Prize Fellowships as DLA Postdoctoral Pathway
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• Strong interest in interdisciplinary research Qualifications Research Assistant • Honours degree in (Biology, Neuroscience, Computer Science, Engineering, Mathematics, or related area) In addition
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motivated postdoctoral researcher to join our team working on a cutting-edge cyclic peptide mRNA display platform under the supervision of Professor Akane Kawamura (https://kawamuraresearchgroup.com ). You
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, engineers, and the general public Qualifications Research Assistant Degree in engineering or numerate subject (e.g., mathematics, physical sciences, computer science) PhD close to completion in field of Power
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work closely with national and international collaborators, making this an ideal position for a postdoctoral researcher looking to build a strong foundation in translational cancer research. The project
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number of health and wellbeing initiatives to support you. Closing Date: 19 June 2025 The Role The EPSRC have renamed the previous EPSRC DTP Doctoral Prize Fellowships as DLA Postdoctoral Pathway
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work on the INSTINCT-MB programme, which brings together teams based at Newcastle University, The Institute of Cancer Research and University College London. The programme will generate a wide range of