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individual interested in pursuing a PhD focused on exploring the complex relationship between housing renovation, efforts to reduce climate impact through increased repair and reuse, and the development
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energy; thereby minimising farming’s environmental impact. AI machine learning offers a new expedient method of developing control systems for tasks that would be difficult to manage using classical
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and aims at obtaining further academic qualification (usually PhD). We are looking for an outstanding candidate to help us on our mission to develop novel “precision tools” to understand the role
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hours: 30,00 | Classification CBA: §48 VwGr. B1 Grundstufe (praedoc) Limited contract until: 31.08.2029 Job ID: 4246 Are you passionate about developing and applying cutting-edge AI-assisted proteomic
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, prospective project developers are faced with technological risks concerning safety such as gas cross over within stacks, and performance such as efficiency decrease due to degradation, and inability to operate
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4-year D.Phil. studentship Supervisors: Dr Simone Falco, Prof Daniel Eakins Classic finite elements approach (FEA) approximate the shape of the model using elements with planar faces, therefore
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of Profs. Jack Middelburg and Henk Dijkstra , you will elucidate ocean alkalinity dynamics and develop new and improve existing models for ocean carbon cycling. The initial focus is on the alkalinity
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PhD programme within QMUL’s Wolfson Institute of Public Health, under the supervision of Dr Giuliano Russo (WIPH) and Prof. Pietro Panzarasa (School of Business and Management). As part of the project
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Sustainable Development. More information For more information about this position, please contact Prof. Dr E. Worrell at E.Worrell@uu.nl or Dr Wina Crijns-Graus at W.H.J.Graus@uu.nl . Candidates
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Primary supervisor - Prof Kate Kemsley Join us to research and develop advanced analytical methods for tackling food fraud head-on! Economically motivated adulteration of foods is a significant