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ecological models using the Oceananigans.jl infrastructure. This is an exciting opportunity to be part of an international collaboration (the Simons Foundation funded Computational Biology in Marine EcoSystems
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PhD or be near completion, in physics, mathematics, computer science or a related discipline, and possess sufficient specialist knowledge in the discipline to work within established research programmes
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a small amount of teaching to the department, of at most three hours a week during the academic terms. You will hold a relevant PhD or be near completion, in physics, mathematics, computer science
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research programme on theoretical and practical aspects for reliable learning procedures for human-centred AI. The post holder provides guidance to junior members of the research group including project
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. The post‑holder will have the opportunity to teach. Applicants should hold a PhD, or be close to completion, in physics, engineering, computer science or a closely related discipline and have a strong
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research programme on theoretical and practical aspects for reliable learning procedures for human-centred AI. The post holder provides guidance to junior members of the research group including project
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. The post‑holder will have the opportunity to teach. Applicants should hold a PhD, or be close to completion, in physics, engineering, computer science or a closely related discipline and have a strong
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laboratory automation in a highly collaborative research environment. About you You will have a PhD (or equivalent) in a relevant area or field related to this project (Computer Science, Robotics, Mechatronics
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a PhD in Materials Science, Chemical Engineering, Chemistry, or related discipline; materials processing and characterization experience; knowledge of characterization techniques (XRD, SEM
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About us The Label-free Bioimaging Laboratory, within the Faculty of Dentistry, Oral & Craniofacial Sciences (FoDOCS) at King’s College London, is part of a world-leading centre for research and