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our 138m Boldrewood Towing Tank and Iridis research computing facility . You will receive mentoring and technical guidance from the project’s academic leads, Dr. Tahsin Tezdogan and Dr. Nicholas
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annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based approaches, machine learning) where
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PhD in a relevant field (Computer Science, Mathematics are most likely to fit the role, but we are open to Chemistry, Materials Science, Chemical Engineering, etc.), expertise in cutting-edge AI and
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COG-MHEAR is a world-leading cross-disciplinary research programme funded under the EPSRC Transformative Healthcare Technologies 2050 Call. The programme aims to develop truly personalized
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and values diversity acting as a role model and fostering an inclusive working culture Person Specification Essential: PhD (or near completion) in Computer Science, Data Science, AI, or a related field
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the origin of seed gene networks”. This project aims to use reverse genetics, cross-species complementation and single cell next-generation sequencing approaches to investigate how the gene networks
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of sewer network and overflows to support effective management, and develop strategies to control pollutions at sources. The post will include delivering research outputs in the form of weekly reports
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Fellow will use their research knowledge, skills and experience to contribute to the design and delivery of an ambitious research programme within the Law & Policy work stream. This includes (but is not
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as posters Deal with problems that may affect the achievement of research objectives and deadlines. This might include working with CRN networks to ensure recruitment target is met Carry out
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research associates and PhD students. You will also engage directly with numerous external stakeholders (industry and academia), which will form part of your research network and give you opportunities