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collaborative and interdisciplinary and the ability to work in a team is essential. About You The successful candidate will be expected to have a PhD degree in biological or computational sciences or equivalent
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(model performance) and quality studies (human factors assessment). You should hold a relevant PhD/DPhil (or be near completion) in computer vision or robotics or biomedical image analysis. Knowledge
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at the intersection of these research areas. You should hold, or be close to completing, a PhD/DPhil in mathematics, statistics, physics, engineering, data science, or a related field. Experience in cancer
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series, research seminars, and workshops. Candidates will possess a PhD (or be close to completion) in any relevant area of Management. The successful candidate will have expertise in composing large
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/2028. About You You will have a PhD in a relevant scientific discipline and sufficient specialist knowledge relevant to the project to be able to make a start on day one – we do not expect everyone
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. Key characteristics: Relevant academic credentials, including a PhD in a related field (international relations, war studies or similar) and specialist knowledge of WMD proliferation, doctrine, policy
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researcher with a PhD in Physics, or in a closely related discipline and should also have an outstanding track record of research commensurate with their stage of career. Experience in one of the following
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(MOCVD). The primary aim is to develop energy-efficient 2D materials that can significantly reduce the power consumption of next-generation electronic devices, supporting the UK’s net zero goals and the
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of the project. Applicants should hold, or be close to completion of, PhD in Biology or a related subject. You should have a high level of competence in biochemistry and structural biology as well as relevant
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) or equivalent qualifications PhD (or near to completion) in relevant subject area (structural biology or biophysics) Proficiency in at least one of these techniques (e.g., single-particle electron microscopy, NMR