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genomic variation and phenotypic traits, predict gene essentiality, and model evolutionary trajectories. The role involves using large language models as coding assistants for efficient pipeline development
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of translating discovery science into therapeutic applications for cancer patients by enabling effective collaborations between scientists and clinicians to improve cancer detection and treatment. A primary focus
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healthcare easy or difficult for them and how local cancer services can support them better. Through the workshops, we will aim to find a solution to some of the barriers that they may face. This is a
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environment, and benefit from diverse project team skill and expertise. The successful candidate should have a PhD in cartilage, stem cell or protease biology (or a related discipline). Expertise in mammalian
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new stable co-electrocatalysts using high-throughput synthesis and screening and evaluate them for activity and selectivity towards methane or syngas. You will have a PhD in chemistry or chemical
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opportunities with national and international partners. We are looking for a candidate who holds (or will soon hold) a PhD in Chemistry (or related areas in materials science and physical chemistry) whose main
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activities, and will be supported to develop their own independent research trajectories and career pathways throughout the project with access to bespoke training and conference budgets. You should have a PhD
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the evolutionary, physiological and clinical consequences and drivers of this paradoxical behaviour You should have a PhD in a relevant discipline and an eagerness and ability to undertake interdisciplinary
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should have a PhD degree in Biochemistry, Biomedical Science, Biological Sciences, Omics science, Microbiology or a related discipline and experience of applying mass spectrometry in human signalling
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epidemiology, data science, and policy to produce high-quality, policy-relevant evidence with real-world impact. You should have a PhD (or near completion) in public health, epidemiology, data science, applied