671 software-engineering-model-driven-engineering-phd-position Postdoctoral positions in United Kingdom
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focuses on creating new scientific knowledge for establishing new businesses and technology-driven transformation of large and small firms, as well as of entire industries. Tying together theory-driven and
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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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Engineering and a strong background in experimental magnetism. The position, based within Prof Jason Robinson's research group at the Department of Materials Science & Metallurgy, is part of the project
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, engineering or a related field (Grade 6). This post is full time and fixed term for 2 years. If you are still awaiting your PhD to be awarded you will be appointed at Grade 6, spine point 30. Upon written
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at: About you Applicants must hold a PhD in Biochemistry, Chemical Biology, Physics, Engineering or a relevant subject area, (or be close to completion) prior to taking up the appointment. You will be
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, engineering or a related field (Grade 6). This post is full time and fixed term for 2 years. If you are still awaiting your PhD to be awarded you will be appointed at Grade 6, spine point 30. Upon written
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relevant skills acquired and will also be determined by the funding available. About you Applicants will hold a PhD/DPhil or be near completion of a PhD/DPhil in a subject relative to Structural Biology
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, a warm and friendly place to work, a unique and historic setting – Durham is a university like no other. As one of the UK’s leading universities, Durham is an incredible place to define your career
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be about to obtain) a PhD in chemical biology. They will be highly motivated and able to work independently. Excellent organisational and interpersonal skills are required to ensure success in liaising
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of the tissue microstructure. In this position, you will work on developing advanced preclinical MRI techniques and you will employ them for 1) in-vivo mouse liver imaging, both for normal controls and in models