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for publications. About You The successful candidate will work to fulfil the aims of the research grant which funds this study. The candidate should have the relevant checks and experience required to obtain written
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the diagnosis of common blood disorders in diverse and admixed populations. They will have experience and knowledge of machine learning and federated learning methodology. They will also have the opportunity
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including cell culture, organ-chip models, tissue engineering, and musculoskeletal biology. The PDRA will plan and conduct experiments, generate high-quality data, prepare publications, make presentations and
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atomistic origin of barocaloric materials’ thermodynamic properties, and hence to design new materials with properties that rival those of vapour-liquid refrigerants. We are looking for a researcher to
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will plan and conduct experiments, generate high-quality data, prepare publications, make presentations and help supervise associated PhD students. The successful candidates will join large, supportive
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developmental science. The successful candidate will contribute to a major research programme investigating how educational experiences shape mental health from childhood into adulthood. The role involves working
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About the Role We are seeking to recruit an outstanding lab-based molecular biologist with or about to receive a PhD, who has experience in development and application of next-generation sequencing
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nanomaterial-nucleic acid hybrids for optimal device bio- and gas sensing, as well as for optoelectronic applications. About You The candidate will have experience in materials science research and ideally DNA
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biomedical data scientist / computational biologist to join our highly collaborative team at QMUL. PhD (or close to completion) or research qualification/experience equivalent to PhD level in the relevant
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and molecular techniques, including primary cell isolation/characterisation/culture, flow cytometry, western blotting, and murine work. Experience in using techniques to study metabolism such as