53 postdoc-distributed-algorithms positions at University of Sheffield in United Kingdom
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Interplay between Algorithms and Combinatorics School of Computer Science PhD Research Project Directly Funded Students Worldwide Prof Parinya Chalermsook Application Deadline: 31 July 2025 Details
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at the University of Sheffield within the consortium is to lead nationally the development of quantum machine learning (QML) algorithms. The research will involve designing innovative QML approaches and collaborating
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Overview The University of Sheffield, in association with Detectronic are recruiting a Knowledge Transfer Partnership (KTP) Associate to help develop and test a groundbreaking monitoring system for continuous water quality measurement in rivers. This is in response to the national need to...
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particulate materials Design and help instrument sensors based on these models to measure particle properties, such as the particle size distribution. Balancing experimental needs, such as bandwidth
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presentation of own research data. Provide support to lab PI and postdocs engaged on the project Take responsibility for the day-to-day experiments, including windowing/staging of chick embryos, in vivo
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seminars, including presentation of own research data. Provide support to lab PI and postdocs engaged on the project Take responsibility for the day-to-day experiments, including windowing/staging of chick
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of rail with wider city and regional transport networks. A focus of this work is the application of optimisation techniques (e.g. evolutionary algorithms, or Bayesian techniques) to identify high performing
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distribution of AMR mechanisms. This inexorable increase in AMR coupled with large numbers of cases, which are expensive to treat, demonstrates a major public health burden with a clear need for the development
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transmission methods (wired or wireless) will be optimised for robust data capture in natural sleep environments. AI-Driven Analysis: Develop advanced AI algorithms to analyse the collected sensor data, aiming
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will enable the advanced monitoring and computing techniques of power systems, as well as to create a resilient control and operation for both energy network and distributed energy sources. This PhD