369 phd-computer-science-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at University of Cambridge
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. The Accelerate Programme for Scientific Discovery (https://science.ai.cam.ac.uk/ ) is a high-profile University initiative promoting the use of machine learning to tackle major scientific challenges. Accelerate
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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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Masters level degree in a relevant area of Biology. Expertise in cell biology and Drosophila genetics would be an advantage, although training can be provided where necessary. The post does not require a
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catalytically active metals to drive chemical reactions with light [3-4]. The specific goals of this PhD project are to 1) understand how plasmonic Mg nanoparticles and their surface oxide layer attract and
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of susceptibility, disease modelling, pharmaceutical intervention and vaccine design studying "pathogen X" rather than focussing on any one specific pathogen. The programme has fully funded research positions, PhD
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group aims to enhance its global visibility through high-impact research outputs, including publications in leading Economics journals and the successful placement of PhD graduates in academic careers
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Fixed-term: The funds for this post are available for 3.5 years in the first instance. Applications are invited for a Research Assistant position in synthetic organic chemistry in the Yusuf Hamied
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Fixed-term: The funds for this post are available until 31 July 2029 in the first instance. The Mateo Sanchez lab, located in the Department of Chemistry at the University of Cambridge, is seeking
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2026. The Nevile Fellowship Endowed through the generosity of Trinity College, Cambridge, will be in one of the following subject areas: Pure Mathematics, Applied Mathematics, Computer Science
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Applications are invited for a Research Assistant to join the Mental Health Neuroscience lab led by Professor Camilla Nord at the MRC Cognition and Brain Sciences Unit, University of Cambridge