12 algorithm-"Prof"-"Washington-University-in-St" PhD positions at The University of Manchester
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-cases of classical supercomputers, the development of quantum CFD algorithms will be of widespread benefit upon the arrival of fault-tolerant quantum computing. This project involves the adaptation
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of Manchester’s NMR Methodology group, under the supervision of Dr Ralph Adams, Prof. Mathias Nilsson, and Prof. Gareth Morris, with industrial partnership support from JEOL (UK) Ltd. NMR spectroscopy is a powerful
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, nonlinear dynamical systems, robotics, and formal methods to develop principled models and algorithms for distributed decision-making in complex and uncertain environments. Your research The candidate will
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to develop principled models and algorithms for distributed decision-making in complex and uncertain environments. Your research The candidate will develop a novel hierarchical control framework
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the supervisor: Dr Hannah Mullings, Prof Tim Stallard and Dr Samuel Draycott (hannah.mullings@manchester.ac.uk , tim.stallard@manchester.ac.uk and samuel.draycott@manchester.ac.uk ). Please include details
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at the University of Manchester. The project is a collaboration between two of the Manufacturing Hub academics, Prof. Mike Shaver (Director of the Sustainable Materials Innovation Hub) and Dr. Niamh Fox (Lecturer in
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for this project, Prof De Bo - guillaume.debo@manchester.ac.uk before you apply. Please include details of your current level of study, academic background and any relevant experience, include a paragraph about
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interference, while ensuring energy-efficient and scalable operation. This PhD project will focus on developing machine learning algorithms to enable robust channel estimation, intelligent user association
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the supervisors: Prof Barnes - mike.barnes@manchester.ac.uk and Dr Mahdieh Sadabadi - mahdieh.sadabadi@manchester.ac.uk . Please include details of your current level of study, academic background and any relevant
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the supervisors: Prof Gavin Miller - gavin.miller@manchester.ac.uk andDr Richard Obexer - richard.obexer@manchester.ac.uk . Please include details of your current level of study, academic background and any