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of condensed matter, theoretical particle physics and cosmology; and experimental particle and astroparticle physics. About the role We are seeking a highly motivated and experienced researcher, holding a PhD in
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successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in relevant subject area such as Developmental Biology, Anatomy, or a related field
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Synthase cofactor, in a collaborative project involving King’s College London and Imperial College London (Dr Daniel Wilson, Dr Maxie Roessler). Applicants should have a PhD in synthetic chemistry, ideally
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engineers, data scientists, clinicians and biobankers. For Grade 8: managerial responsibility to supervise researchers (e.g. post-docs, PhD students) and lead research projects/programs. This is a full time
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scholars: applicants must have submitted their Philosophy PhD thesis at KCL, within the twelve months directly preceding commencement of the post. Applications are welcome from candidates with research
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will be offered a fixed term contract until 30th November 2026. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD
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allocation will be discussed upon appointment. The post holder will also supervise undergraduate and postgraduate dissertations. The successful candidate will hold a PhD in Culture, Media & Creative Industries
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expected to hold a PhD degree in Computer Science or other relevant discipline. You will bring expertise and a strong academic track record in Natural Language Processing (NLP) and a vision for how Large
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month fixed term contract. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area
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Provide supervision and training to junior staff, PhD students, and interns as needed Take responsibility for data management, reproducibility standards (GitHub, RMarkdown, OSF), and adherence to data