28 associate-professor-computer-science PhD positions at The University of Manchester in Uk
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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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between reliability, performance, computational efficiency, and adaptability under uncertainty. The candidate will be affiliated with CRADLE (Center for Robotic Autonomy in Demanding and Long-Lasting
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based at The Laser Processing Research Laboratory (LPRL) at The University of Manchester (UoM). The Laser Processing Research Centre was established on 1 April 2020 by Professor Lin Li as its director
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farms at relatively close proximity can be relevant when considering their annual energy production. This project will examine the uncertainty of various types of numerical models, from fast-computing
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energy? This PhD offers a rewarding chance to become a materials science expert, combining cutting-edge characterisation with real-world industrial impact. At the University of Manchester, working in
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example of universality, an important concept within physics, chemistry and biology, but one that lacks a full mathematical understanding. This project will tackle questions relating to universality within
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-treatment facilities, and biorefineries. Feedstock choice, regional dynamics, and process side-streams all affect costs, energy use, and emissions. This PhD project will develop advanced computational models
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for over a century, the fundamental physio-chemical processes governing tree initiation and propagation remain inadequately understood, representing a significant scientific and engineering challenge
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honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. Experience with experimental campaigns would also be desirable. To apply please contact
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calculus or Brownian motion. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline