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laboratory and professional development training programme and be supported to develop your networks within the UK geoscience and nuclear sectors. Due to funding restrictions, this studentship is only
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. This project is primarily computational and offers comprehensive interdisciplinary training in plant genomics, bioinformatics, and statistical modelling, as well as practical skills in horticulture, experimental
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London, and the National University of Singapore. How to apply: Please make an online application for this project at http://www.bris.ac.uk/pg-howtoapply . Please select <programme title> on the Programme
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collaborative, interdisciplinary environment that brings together expertise in chemistry, physics, and computer science. Success in this role requires the ability to engage effectively with colleagues from
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will be responsible for the follow : (full details of duties available from the Job Description) Research Collaboration and engagement You will have completed a PhD in machine learning, computer
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passes. You will need to meet the minimum entry requirements for our PhD programme . Applicants should hold (or be about to obtain) a first or upper second-class honours degree (or equivalent) in a
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. This correspondence is a cornerstone of the modern Langlands program, providing a deep and unforeseen bridge between harmonic analysis and number theory. The primary goal of this project is to formalise
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also researched by the recently commenced multi-million MOSFET (The Maturing Optimised Solutions for Aerospace Technology) research programme lead by RR in collaboration with UoM and an electrical
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decarbonization of existing maintenance and decommissioning of assets. Programme structure (1+3)* Year 1 (Taught component): All students spend the first year at The University of Manchester undertaking taught MSc
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(wind, solar, geothermal, tidal, hydrogen) and nuclear (fission and fusion), and to support the decarbonization of existing maintenance and decommissioning of assets. Programme structure (1+3)* Year 1