66 parallel-and-distributed-computing-phd-"Multiple" Postdoctoral positions at KINGS COLLEGE LONDON in United Kingdom
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following skills and experience: Essential criteria PhD qualified in relevant subject area * Knowledge of Raman spectroscopy Hands on experience with fibre optics Commercial/spinout exposure Knowledge
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-term persistent infections, as well as on newly emerging variants of concern (VOCs). We are seeking a highly motivated candidate that has obtained (or will obtain soon) a PhD in a relevant subject (i.e
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work closely with Prof. Hanna Kienzler, Prof. Stephani Hatch, and Dr Rebecca Rhead as part of the Centre’s ‘Marginalised Communities’ programme. This involves partnering with Black and racially
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for Research Staff Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria A PhD in Humanities or
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for candidates to have the following skills and experience: Essential criteria A PhD in Humanities or Social Sciences (preferably History, Anthropology, Gender Studies, Politics) or Public Health Training in
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programme investigating early lung fibrosis at King’s College London. It is anticipated candidates will have a relevant PhD in immunology or respiratory sciences, and have experience with cell culture
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Application Deadline 23 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models
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Collaborative and team-oriented mindset with a commitment to inclusive and survivor-centred research. PhD in a relevant field (e.g., social sciences, psychology, public health, or related). Demonstrable
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for candidates to have the following skills and experience: Essential criteria A PhD in Humanities or Social Sciences (preferably History, Anthropology, Gender Studies, Politics) or Public Health Training in