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all datasets which inform the populations health needs including the data relating to the wider determinants of health Develop multilevel modelling on secondary dataset Increase the cultural and
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needs of the population Create a data-lake of all datasets which inform the populations health needs including the data relating to the wider determinants of health Develop multilevel modelling using
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, and cybersecurity professionals. The successful candidate will play a key role in shaping a transformative educational model with the potential to influence policy, build digital resilience from
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systems, ML model training, and model deployment, and demonstrated record of advising non-technical stakeholders on technical topics. Excellent communications skills, previous experience of contributing
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researchers engaged in a Defense Health Agency project on spatial orientation modeling and disorientation mitigation. The research fellow will participate in generating a report for the Spatial Orientation
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mathematics) or should be close to submitting their PhD thesis. They should also have experience in handling longitudinal data and conducting microsimulation or agent-based modelling. Good communication and
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underlying aortic aneurysm and valve disease. Utilizing a variety of approaches including stem cell biology, gene editing, bioengineered human vascular grafts and animal model studies, we aim to gain
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well as in a collaborative, team-oriented environment. Preferred Qualifications: Prior experience working with mouse models of cancer is strongly preferred; candidates without prior experience will be
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neuroscience, cancer biology, extracellular vesicle biology and in vivo modelling. The project itself will combine expertise in neuroscience and cancer biology and has the potential to lead to findings which can
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, FSE, ISSTA, TSE, TOSEM) in the areas of blockchain security, smart contract analysis, program analysis or decentralized systems. Demonstrated expertise in large language models (LLMs) and their