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Bayesian methods, deep learning, deep generative models, reinforcement learning, graph neural networks. Interviews are expected to happen in July 2025. Applicants are encouraged to guarantee that referees
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of senior researchers and will perform research necessary to fulfil the objectives of the Project Identification of therapeutic targets in MNX1-rearranged infant Acute Myeloid Leukaemia, externally sponsored
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Research Assistant/Research Associate* in Cardiovascular Epidemiology (BHF Scholarship) (Fixed Term)
understanding of aetiology and link to therapeutic target prioritization efforts. Therapeutic target prioritization: prioritizing potential therapeutic targets for CVDs to help reduce unsustainable high failures
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prospective novel targets for neurodegenerative disease. The primary responsibility will involve research activities supporting the project, practically contributing to activities across methodologies (e.g
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required to meet their climate neutrality targets (see: https://up2030-he.eu/ ). The University of Cambridge is leading activities on data governance and city-wide carbon management. The post holder will be
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required to meet their climate neutrality targets (see: https://up2030-he.eu/ ). The University of Cambridge is leading activities on data governance and city-wide carbon management. The post holder will be
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uncover cellular mechanisms of neurovascular dysfunction in Alzheimer’s disease and identify potential therapeutic targets. The successful candidate will be part of a collaborative team researching myelin
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will play an active role in advancing and evolving this technology to expand its capabilities, with a primary focus on developing ligands and tool compounds targeting therapeutically relevant proteins