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in related program areas to gain exposure to and build knowledge on experimental/research activities and approaches, in order to improve conceptual development and industrial implementation. Identify
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strong background in circuit neuroscience but will also consider scientists with a strong computational preparation and some neuroscience background. Prior experience with connectomics data
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We are seeking a talented and motivated researcher to join the Mead Group to contribute to a major research programme focused on understanding and preventing disease progression in
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-funded project entitled “Accelerated Development of Next Generation Li-Rich 3D Cathode Materials (3D-CAT)”. You will have a PhD (or be near completion) in materials or chemistry and experience in battery
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Mead Group to contribute to a major research programme focused on understanding and preventing disease progression in myeloproliferative neoplasms (MPNs). You will take a lead role in conducting wet lab
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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 a leading Biobank of samples. We encourage applications from enthusiastic and motivated candidates with a PhD (awarded or imminent) in Neuroscience, Molecular Cell Biology, or a related discipline
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. You will be responsible for managing your own academic research, collaborating with computational and clinical researchers, and contributing to the scientific development of the lab. This is an exciting
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of agentic behaviour and publishing high-impact research. Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a related field. You will have a Strong background
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support a high-value materials characterisation programme as a postdoctoral researcher. The ability to think outside the box with creativity, along with having the drive and ambition to develop those ideas