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, renowned for our innovation and enterprise. We are a place of opportunity and inspiration that attracts the most talented staff from around the world. On these pages you will find all the information you
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of applying them to data. Collaborative endeavours with members of the IPMU and Oxford groups is highly encouraged. You will have the opportunity to teach. Applicants should have a PhD (or close to completion
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decisions we will evaluate applicants on the quality of their research, not publication metrics or the identity of the journal in which the research is published. More information is available at: Responsible
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at LSHTM. The post-holder must have a postgraduate degree in a relevant topic (ideally Medical Statistics or equivalent) and relevant experience in using regression models for data analysis and statistical
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/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related disciplines. Knowledge of autonomous vehicles or cyber security will be
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relating to M. sorbens oviposition and behaviour, and other research-related tasks as part of the research team. The post-holder is expected to assist with the analysis of data arising from the research and
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, managing your own workload. This role is not eligible for Skilled Worker visa sponsorship. Information on other visa options is available at: www.gov.uk/browse/visas-immigration/work-visas What we offer in
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delivering the research goals of the group Conduct a research program, defined in agreement with the group Contribute to writing bids for research funding (including facility access) Analyse and interpret data
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Github • Using a range of computer systems to run fluid flow simulations and optimisation algorithms, including High Performance Computing architectures • Assist and mentor students and research group
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biological inspiration to investigate self-reconfiguration, self-healing, self-repair/community repair, and design for SE for autonomous robotic systems. gathering experimental results and presenting data as