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(100%) PhD in the field of Molecular and Computational Neurogenomics Position We are a highly motivated international team of researchers at the Molecular Neurogenomics group (Jordanova Lab) and the
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) that is initially hot can freeze faster than the water which begins cold. We will explore how the quantum Mpemba effect can arise in open quantum systems, find out the mechanisms which can generate it, and
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; such seals are used to keep out moisture and protect other parts of the plant from corrosive attack. Typical components where such components may be used include pumps, valves and control rod drive mechanisms
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and motivated theoretical biological physicists who ask how physical mechanisms shape functional biological patterns. We combine statistical physics, nonlinear dynamics, mathematical modeling and data
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sensors systems, which involves the characterisation and optimisation of near- and mid-infrared lasers, paired with work on the optical and mechanical packaging of these sources. Furthermore, DC7 will work
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requirements A minimum of a 2:1 first degree in a relevant discipline/subject area (e.g. aerospace, automotive, mechanical, electrical, chemical, computing, and manufacturing) with a minimum 60% mark in
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and technique insights. Entry requirements: Applicants must have, or expect to have, at least a 2:1 honours degree (or international equivalent) with a UK master's degree (with average programme mark of
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Discipline: Engineering & Technology, Fluid Dynamics, Mechanical Engineering, Other Engineering Research area and project description: Droplets are ubiquitous in nature, industry, and our everyday
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computer science or mechanical engineering. The candidate will have programming experience, particularly on the development of machine learning pipelines. The University actively supports equality, diversity and
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feedback mechanisms, make microbial isolates and test inoculants for their effect on insect and plant performance. You will perform physiological and molecular studies to understand the underlying mechanisms