687 phd-position-for-fully-funded-reserch-in-computer-vision Postdoctoral positions in Uk
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, to work on the EPSRC funded project “Prototyping a new green ammonia synthesis process using water, air and concentrated solar energy” in collaboration with Prof. Laura Torrente-Murciano, at the University
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EPSRC-funded project, MAPFSI that will be focused on developing experimentally-validated computational algorithms for fluid-structure interaction problems including multiphysics effect of electromagnetism
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About us The Department of Geography at King’s College London invites applications for a one-year (12 months), full-time (1.0 FTE) position as Postdoctoral Research Associate (PDRA). The post will
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only. Any other documents will be requested at a later date. This position is offered full time on a fixed term contract until 31 December 2027 and is funded by GSK. Only applications received before 12
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, “Determining extinction correlates on geological timescales”. Providing guidance to less experienced members of the research group, including research assistants, technicians, and PhD and project students
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and experience: Essential criteria PhD qualified in relevant subject area (or pending results) Proven experience in managing research projects within healthcare or educational settings, including
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project funded by the ERC Advanced Grant ‘RheoYield’. The position is to commence in September 2025 or as soon as possible thereafter. Its overall aims will be to understand the deformation and flow
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About the Role We have been funded by Alzheimer’s Society led by Prof Nathan Davies to evaluate hospital at home services/care models for people living with dementia. The role will lead the study
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in a manner that supports a research-led and scholarly approach to student learning and assessment in the discipline and/or profession. 3. Participate fully in examination and other assessment
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experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models