346 computational-physics-"https:"-"https:"-"https:"-"https:"-"Chalmers" Postdoctoral positions in United Kingdom
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Physical and Theoretical Chemistry Laboratory, Oxford, OX1 3QZ About the role Applications are invited for two Postdoctoral Research Associate positions in Inorganic Materials Chemistry to join
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, Engineering, or a closely related discipline. You will be a materials or physical scientist with a strong track record in applying deep learning to computer vision problems, ideally within battery
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, and competent computational analysis abilities. A suitable publication record, understanding of the research process, and evidence of advancing knowledge of diversity issues are essential. The role
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will develop and apply computational methods for the analysis of cell-free DNA (cfDNA) sequencing data, supporting a growing research program at the intersection of epigenomics and translational medicine
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Health Platform. Mental Health Platform | Mental health platform . The Social Health Hub is a five-year research programme exploring how social determinants - the conditions in which people are born, grow
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, implementation and evaluation of multi-robot scouting methods suitable for wheeled-legged systems in physically-realistic simulated environments and on real robots. You will hold or be close to completion of a PhD
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, and contributions to open-source software) and application of these methods to research problems in computational materials chemistry. You will also contribute to wider-ranging research activities
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an independent researcher working with a significant degree of autonomy within LUMHR’s Connect theme, hosted in the School of Engineering & Physical Sciences. The role focuses on developing and applying machine
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. The postholder will be physically based at Trinity College Dublin, embedded in the School of Computer Science and Statistics, Artificial Intelligence Discipline, and the Trinity College Institute of Neuroscience
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Trust-funded project on Plasma-Assisted Combustion (PAC) Modelling of Ammonia, in collaboration with the York Plasma Institute. The successful candidate will develop and apply advanced computational