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, computational chemistry, or related fields, with focus on areas such as generative models, virtual screening, or AI-assisted research and workflow automation. The exact research scope is flexible, and the key
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possible thereafter. The aim of this project is to advance the development of multi-trait Bayesian linear regression models that enable the sharing of genomic information across traits and biological layers
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driven and enthusiastic post-doctoral researcher to join a Wellcome Trust funded research project in the Lukacs lab within the School of Biomedical Sciences and the Neur@Leeds Research Collective
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engineering and birth defects. To solve this fundamental problem, we use a well-suited model system, the developing zebrafish heart, as it is amenable to state-of-the-art optical, biophysical, and genetic
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Technology systems, who through the development of their individual-driven research projects will combine disciplinary expertise, with interdisciplinary elements, and integrating the use of computational