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translational or clinically aligned research, including work within regulated laboratory environments, is highly desirable. Application Process You will be required to upload a CV and Supporting Statement as part
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sequencing etc.) Expertise in at least one lineage of land plants (i.e., a taxonomic focus) Experience with at least one coding language or a strong background in statistics Experience with high-performance
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research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines • Adapt existing and develop new scientific
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/or the analysis of next generation sequencing data would be a plus. A self-motivated mindset with the persistence to explore innovative research and address challenging scientific problems. Strong
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: familiarity with clinical data and common data models exposure to multiple health data modalities Responsibilities The Postdoctoral Associate will: lead research projects in AI in medicine, especially in LLMs
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of the University to ensure the successful delivery of high-quality research projects. They will work dynamically to progress multiple projects and prioritise team research priorities for timely completion of work
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of public datasets, optimise computational workflows, and ensure analyses are reproducible, robust, and aligned with best practice in research data management. Working closely with immunologists, clinicians
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with multiple sclerosis (MS). Using innovative laboratory and analytical techniques, this research aims to expose new disease-associated immune cell populations that explain why environmental context is
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of interest in iPSC-derived dopamine neurons and astrocytes. You will manage own academic research and administrative activities, including small scale project management and co-ordination of multiple aspects
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is fixed term for 3 years. Key responsibilities: Manage own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects of work