67 postdoc-distributed-algorithms positions at University of Sheffield in United Kingdom
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intelligent sensing, followed by detection of the important events.In the light of autonomous decision making, the project aims at developing machine learning algorithms for knowledge extraction from data
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-homogeneously distributed on every heat transfer surface along with different surface defects. These features have a strong impact on boiling conditions but are mostly overlooked in available CFD models. Ideal
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on product quality (phase assemblage, relative zirconolite yield, density, composition, surrogate oxidation state and NA distribution) must be assessed by routine in-house techniques (XRD, SEM) and advanced
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Impacts of Blending Drinking Water from Desalination into Existing Distribution Systems
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Optimization-based control explores the use of optimization algorithms for feedback control of dynamical systems. For example, model predictive control (MPC) is a widely used optimization-based control method
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algorithms that would allow the delay and/or suppression of hysteresis effects in dynamic stall through the use of control surfaces, for example, allowing the safe recovery of aircraft from post-stall
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adapted based on the abilities and needs of patients. Moreover, automatic intelligent algorithms will be developed in to make the control intuitive, natural and adaptive. Such that the model can learn new
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Deadline: Applications accepted all year round Details The aim of this project is to develop scalable and efficient techniques and algorithms for localisation in different environments, based on data in
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information extraction. Advanced algorithms will be developed to obtain useful information such as the 3D flame topology and spread velocity. The candidate should have a good background in mathematics and they
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using their high performance computational mechanics algorithm Alya, by coupling solid mechanics with electrophysiology. This project aims to personalise this model using medical images (MRI) collected