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are not limited to: Developing scientific applications and software technologies for extreme-scale and energy-efficient computing Developing mathematical modeling for complex scientific problems Designing
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, influence child developmental outcomes. The Fellow is expected to demonstrate methodological rigor, intellectual initiative, and the ability to translate complex quantitative findings for multidisciplinary
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experience in sensory neuroscience, neural circuits or neurodevelopmental disorders. Experience with animal models, electrophysiology, behavioural assays and genetic techniques. Proven ability to design
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discover them The Opportunity The Faculty of Information Technology is looking for a Research Fellow to lead AI and machine learning initiatives on complex, real-world pharmaceutical datasets provided by our
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. These integrated models will reveal emergent biological properties, identify novel therapeutic targets, and establish new approaches for understanding complex human disease. About The Role We are seeking
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, reinforcing the collaborative spirit that defines our culture. Role Summary To undertake research into acoustic levitation systems including their design, finite element modelling, construction
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seminars etc Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute to Departmental/School research-related activities and research
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sensing research in a coastal location. • Design and conduct physics-based hydrologic modelling and hydraulic simulation in the coastal environment. • Conduct field experiments in the coastal
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 3 months ago
complex static in vitro models fail to replicate, whereas, in vivo animal models, offer a poor alternative, being decontextualized of the biology and genetics of its human counterpart. Here, we intend
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and optimisation of biomolecular assays for bladder-cancer-associated DNA variants. Apply a range of algorithmic approaches to quantitative modelling to improve assay sensitivity, specificity, speed