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Field
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responses using a range of established and emerging immunological techniques. Working closely with clinicians, immunologists, microbiologists, bioinformaticians, and data scientists, you will contribute
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explores genetic causes of neurological disorders and aim to develop therapies for these conditions with a high complementary approach, ranging from stem cell modelling to functional genomic. Information
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. You will have experience designing and managing independent research, analysing complex biological data and using relevant laboratory techniques. Evidence of scientific publication and/or presentation
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and analyse scientific data. You will be expected to contribute ideas for new research projects, develop ideas for generating research income, present detailed research proposals to senior researchers
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water-flume data. Leveraging your strong background in high-fidelity simulations and mathematical modelling, you will use these combined datasets to develop a new generation of mathematically rigorous
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treatment response. The role involves building robust and reproducible computational pipelines, interpreting complex biological data, collaborating across the CRC-STARS consortium, and contributing
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at scale. By integrating AI-drive image analysis with molecular and clinical data, the work seeks to identify novel disease-associated features and translate these into clinically deployable models
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with molecular and clinical data, the work seeks to identify novel disease-associated features and translate these into clinically deployable models for improved diagnosis and prognosis. You will be of a
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high-quality genomic data, developing and optimising experimental approaches and preparing findings for publication. You will work both independently and collaboratively with members of the Milne group
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have access to industry-leading research for nursing and health professions. Further information This is a part time (18.50 hours per week), fixed term position for 11 months with a starting salary of