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for sequence or structural data (e.g. transformers, graph neural networks) Proved experience in working independently and as part of a multidisciplinary team Evidence of strong communication and scientific
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unique opportunity for an enthusiastic cell or molecular virologist with an aptitude for semi-independent work, which is well supported by a dynamic team and multiple collaborations. We are looking
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focuses on improving our understanding of multiple sclerosis disease progression and how treatment can impact progression. This work will focus on the unique Novartis Oxford MS (NO.MS) dataset, the largest
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advanced next-generation sequencing techniques. There is also a project management component. Importantly they will liaise with the tissue bank and surgical team to facilitate the collection and processing
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and materials including support in proposal writing. This project is funded by the Department of Chemistry, Oxford University, aligned with its Strategic Research Funding in Sustainable
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: Hires in both single research areas and multiple areas overlapping among PI’s are available. Overall, we would encourage applications from candidates with an independent research vision and portfolio, who
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predictive analysis for Novartis Oxford collaboration for AI in medicine. The collaboration focuses on improving our understanding of multiple sclerosis disease progression and how treatment can impact
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. Hands-on experience in in vivo calcium imaging of neuronal activity in behaving mice. Proficiency in optical system design, alignment, and troubleshooting. Familiarity with animal behavioural experiment
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the direction of Professor Pinar Ozcan, gives the successful candidate the opportunity to join at the start of the project. It will examine how organisations can align profitability with consumer well-being. Many
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will be involved in processing and analysing tissue collected from patients undergoing surgery, using whole genome sequencing, transcriptomics and proteomics. You will be heavily involved in designing