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have completed, or be close to completing, a PhD/DPhil in a relevant quantitative field such as computational social science, computer science, or cognitive science. They will have a demonstrable track
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; testing hypotheses and analyzing data from a variety of sources, reviewing and refining working hypotheses as appropriate; engage with industrial stakeholders to understand needs and disseminate results
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on process development, electrode manufacture and performance assessment, but depending on the skills of the successful applicant, may also involve some aspects of modelling or data science. The post is funded
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to implantation, including validating methods in virtual in vivo environments. • Collaborate with engineers to refine fuel cell specifications and support in vivo experiments. You should hold a relevant PhD
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and structural biology of rhomboid-like membrane proteins. You should hold a PhD/DPhil in a topic relevant to structural biology and biochemistry, together with relevant experience. You should be able
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evaluations, attacks on and defensive mechanisms for safe multi-agent systems, powered by LLM and VLM models. Candidates should possess a PhD (or be near completion) in Machine Learning or a highly related
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of progression to secondary acute myelogenous leukaemia (sAML). You will take a lead on developing data analysis approaches to search for targetable genetic, epigenetic, or epitranscriptomic mechanisms
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Aldridge research and group here About you Applicants must hold a PhD in synthetic inorganic chemistry or a relevant subject area, (or be close to completion) prior to taking up the appointment
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responsible for managing your own academic research and administrative activities and adapting existing and developing new research methodologies and materials. You will analyse quantitative data from a variety
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close to completion of a relevant PhD. You will manage your own academic research, effectively coordinating multiple strands of work. Direct experience in molecular genetics and/or plant-microbe interactions