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Field
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Table Cooling The mechanical properties of hot-rolled flat steel are almost entirely determined by the microstructure formed during run-out table (ROT) cooling — yet ROT cooling is currently controlled in
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4-year PhD fellowship in the Research Programme - Deep Learning-Accelerated Crystallography Pipeline
University. Project description This fellowship forms part of the Novo Nordisk Foundation-funded project “Deep Learning-Accelerated Crystallography Pipeline”, a collaboration between Durham University
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Acikalin – (Newcastle University) Tom Reershemius- (Newcastle University) Stuart Jones – (Durham University) Eligibility criteria You must have, or expect to gain, a minimum 2:1 Honours degree
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. Delivered in collaboration with Intel, including industrial co-supervision. The student will work with Durham University academic supervisors and an Intel co-supervisor on compact Physical AI, data-efficient
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with Durham University academic supervisors and an Intel co-supervisor on research in Physical AI, edge AI and intelligent autonomous systems. Closing date: 15 August Overview AI is shifting from passive
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between feedback systems while allowing individual systems to retain a degree of autonomy. Possible directions include structured system decomposition and representation methods, such as multi-array matrix
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perform table-top experiments to obtain new insights into the foundations of quantum physics? Can we measure gravitational effects on entangled photons for shining light onto the interface of quantum
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table-top experiments to obtain new insights into the foundations of quantum physics? Can we measure gravitational effects on entangled photons for shining light onto the interface of quantum physics and
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addresses three questions: 1. Modular meta-theory: formalize the type algebra, subtyping, and tallying so that new constructors (arrays, records, objects) can be added as compositional extensions
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the possibility of renewal up to a maximum of 36 months, including the initial period). 8. Monthly Maintenance Allowance Amount: The grant amount corresponds to 1,359.64€, according to the table of grant values