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sections, incorporating uncertainty quantification into AI/ML models and providing useful information in aid of UQ in AI/ML models to discern patterns in physical properties. The position will be highly
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based in the School of Chemistry, University of Nottingham in the group of Dr Katherine Inzani. Candidates should hold a PhD (or close to completion) in materials science, chemistry, physics or similar
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the pastoral team in the College for students in academic difficulty, as needed. Eligible candidates will have fewer than three years' experience post-PhD/equivalent, exclusive of any career breaks and hold a
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us to build/learn generative, probabilistic forward models of users and their physical and computational environments. This will involve modelling sensors, developing dynamic models for control and
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a role model and fostering an inclusive working culture. Person Specification Hold or be close to obtaining PhD in theoretical physics or related area High level analytical capability Ability
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sources of research funding and contribute to the process of securing funds and make presentations at conferences and other events. Applicants will possess a relevant PhD or equivalent qualification
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with innovative methodological approaches. The Centre will reshape knowledge of how slavery in war can be analysed, forecasted and tackled, shaping in the process a new interdisciplinary field
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with innovative methodological approaches. The Centre will reshape knowledge of how slavery in war can be analysed, forecasted and tackled, shaping in the process a new interdisciplinary field
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relevant PhD and medical degree alongside registration with the GMC at Specialist Registrar Garde or below. You will have a recent track record in histopathology and use of machine learning techniques, and
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is to guide the rational design of improved mRNA delivery systems to advance the efficacy of cancer immunotherapy. The ideal candidate profile: Must-have: PhD in the fields of biophysics, soft matter