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, or be close to completing, a PhD in statistical genomics, genetic epidemiology, data science, computing, artificial intelligence, biomedical engineering, or a related field. You will have significant
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, or be close to completing, a PhD in statistical genomics, genetic epidemiology, data science, computing, artificial intelligence, biomedical engineering, or a related field. You will have significant
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About us King’s College London is an internationally recognised research-intensive university. The Department of Physics, within the Faculty of Natural, Mathematical & Engineering Sciences, hosts
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, biomedical engineering, medical imaging, or related field. Experience in deep learning with practical implementation. Strong Python skills and relevant frameworks. Experience with large clinical imaging
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of Edinburgh, with eight groups across the UK and the United States, the consortium engineers microbial S-layer proteins into large-area, defect-free, metal-coordinated 2D lattices for selective ion separation
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science, or engineering. Essential attributes include advanced expertise in crystallisation, printing techniques (i.e., slot‑die, blade, and bar coating), and perovskite solar cells. Experience in
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and performance studies, digital humanities, games and interactive media, media literacy, educational technology, participatory arts research, or related fields, who can demonstrate innovative
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Computer Science research, and second for our Electronic Engineering research output (REF 2021). We offer high-quality education to students from diverse backgrounds that leads them to achieve great career
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) to work on an EPSRC-funded project developing vapour-deposited perovskite thin films for high-efficiency multijunction solar cells. The successful candidate will engineer novel precursor materials and
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on the ‘ADHD Remote Technology and ADHD transition: predicting and preventing negative outcomes’ (ART-transition) project. The post-holder will work with Professor Jonna Kuntsi and Dr Aislinn Bowler