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Engineering, Automation, Mechanical Engineering, Control Engineering, Mechatronics, Computer Science, AI, etc. Strong background in autonomous driving, deep learning, interaction modelling, prediction, robotics
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Research Fellow (Fusion Shielding Materials) - School of Metallurgy and Materials - 105638 - Grade 7
limited to testing fusion materials and their joints to the effect of irradiation, high temperature, heat flux/plasmas, quantify thermo-mechanical property degradation and map failure mechanisms to guide
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successful completion of the PhD. Prior to the qualification being awarded the title of Senior Research Assistant will be given. You will join a large and friendly Mechanical Engineering department and work
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August 2025 Background To create and contribute to the creation of knowledge by undertaking advanced analysis and validation experiments within the MRC BioFlare research programme: Although outcomes in RA
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AI technology for the robotic system. Perform testing and validate the performance of the developed gripper system. Job Requirements: PhD Degree in Mechanical Engineering, Electronic Information, Data
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applications from candidates who meet the following criteria: PhD (or about to complete) in relevant discipline e.g. Bio/Medical/Mechanical Engineering; a track record of developing validated computational
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(Building acoustics or Acoustics Materials) for a 12-month appointment, which may be renewed. This research aims to better understand the underlying mechanisms of sound transmission in buildings and develop
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technologies and functional genomics to dissect mechanisms of treatment resistance and lineage plasticity in advanced prostate cancer. The successful candidate will join a dynamic, multidisciplinary team with
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or machine learning to complex data. The successful candidate will have (or be nearing completion of) a PhD in a relevant field such as polymer science, materials engineering, or mechanical engineering
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The newly established Program for Memory Longevity (PML), led by Attila Losonczy, MD, PhD, in the O’Donnell Brain Institute (OBI) and the Department of Neuroscience at the University of Texas