257 computer-programmer-"https:"-"UCL"-"https:"-"https:"-"https:"-"https:"-"Dr" Fellowship positions in United Kingdom
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Are you interested in developing interpretable AI models for the next generation of green syntheses? Do you have experience in AI/Machine Learning, or computational modelling of organic reactions
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turbulence modelling, CFD mesh generation and use of parallel computing Have relevant experience in working with aerosols and droplets Proficient in handling large data sets and the ability to analysis and
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that are relevant to industry demands while working on research projects in SIT. About the DIGNIFIED programme The DIGNIFIED programme is dedicated to developing elderly-friendly, textured modified foods with
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engineering aspects to the project (around model validity) and computer science aspects (around parallel efficiency and computational time). You will be working closely with engineers at Rolls-Royce and with
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University of Surrey. You will be working on a 3-year project (funded by Innovate UK) looking at coupling of fluid and solid models and how we could use AI to speed up the computational time required. You will
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engineering aspects to the project (around model validity) and computer science aspects (around parallel efficiency and computational time). You will be working closely with engineers at Rolls-Royce and with
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University of Surrey. You will be working on a 3-year project (funded by Innovate UK) looking at coupling of fluid and solid models and how we could use AI to speed up the computational time required. You will
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delivering the research goals of the group Conduct a research program, defined in agreement with the group Contribute to writing bids for research funding (including facility access) Analyse and interpret data
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About us The Max Planck UCL Centre for Computational Psychiatry and Ageing Research (MPC) is dedicated to studying the causes of psychiatric disorders as well as the causes of individual
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and