10 Engineering-"https:"-"https:"-"SUNY-Polytechnic-Institute" Fellowship positions at University of Leeds
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a research career in Science or Engineering at one of the UK’s leading research intensive universities? The EPSRC Postdoctoral Pathway scheme supports Fellowships of two years’ duration
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your machine learning expertise to cutting-edge automated optimisation challenges? We are seeking a Research Fellow in Digital Chemistry and Engineering to combine self-optimising flow reactor technology
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pipelines and associated corrosion threats in dense phase CO2 streams with impurities. Working with regulators, standardisation and certification bodies, technology developers and industry, the models will be
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Australia (www.jcvi.org/research/circle). The successful applicant will join a growing community working at the interface of biotechnology, process systems engineering, circular economy innovation, and global
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them for careers in the medical technology sector and its underpinning research. As MSCA PhD Fellow (DC3) in Leeds, you will develop modular, multivalent glycocalyx probes to study density‑dependent
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the medical technology sector and its underpinning research. As MSCA PhD Fellow (DC1) in Leeds, you will develop new analytical tools to probe the sticky diffusion of biocolloids in molecularly defined models
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the medical technology sector and its underpinning research. As MSCA PhD Fellow (DC1) in Leeds, you will develop new analytical tools to probe the sticky diffusion of biocolloids in molecularly defined models
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the School of Mechanical Engineering. The project is part of a new £7M EPSRC funded Programme Grant that brings together a team of researchers from the universities of Leeds, Durham and Manchester
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degree (or have submitted your thesis before taking up the role) and research experience in Physics and/or Engineering along with significant experience in experimental liquid crystal physics, including
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an existing open-source malaria transmission model (in partnership with the model developer) to embed these new water layers. Model outputs will then be validated using remotely-sensed datasets and existing