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physics data analysis, machine learning, and interactive and collaborative systems. The prospective PhD candidates will work in close cooperation with our current PhD students within the PhD programme, and
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The ideal candidate will have a PhD in a relevant subject such as statistics, mathematics, physics, operations research, computer science or data science, and have a strong statistics background
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, microbiology, infection biology and immunology, cell and developmental biology, neurobiology, genetics as well as computational and systems biology. With over 30 groups, about 150 PhD students and over 500
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(or equivalent) in Computer Science, Machine Learning, Mathematics, or a related technical field. For Postdoctoral Fellows: A completed PhD in one of the fields mentioned above and a strong publication record
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into the AI development lifecycle to build more resilient systems from the ground up. What We Are Looking For For PhD Candidates: An MSc degree (or equivalent) in Computer Science, Cybersecurity, Machine
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: Must have submitted thesis through an EPSRC funded PhD programme between 1 January 2024 and 1 October 2025 EPSRC Alignment: Research must be predominantly within EPSRC's remit Supervisor Commitment: Must
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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Applications are invited for this PhD training programme to commence in September 2026. Led by the London School of Hygiene & Tropical Medicine, this PhD Programme is offered by five UK and six
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Research Framework Programme? Not funded by a EU programme Reference Number Operação Nº 17044 - LISBOA2030-FEDER-00833700 - #NOVAID-B385 Is the Job related to staff position within a Research Infrastructure
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background – mathematics, physics, engineering, computer science etc. A PhD (or be close to completion) and/or postdoctoral experience applying these skills to a biological (or other complex) system e.g