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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
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advanced conductors, innovative machine concepts and novel 3D machine topologies. These programmes provide significant opportunities for innovation in electromagnetics, machine topology, analytical modelling
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groundwater movement and develop strategies for seawater-intrusion prevention and freshwater-resource protection. Key Responsibilities: Conducting field and laboratory tests, as well as numerical modelling
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role in advancing the research agenda. Your responsibilities will include: · Perform research on computational modeling of EF-hand proteins · Perform method development for relevant systems of EF-hand
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cancer genomes, and build predictive models that improve our understanding of tumour evolution and therapeutic vulnerabilities. This position offers an exciting opportunity to work at the interface
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for publication, research seminars etc Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and
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to monitor, analyze, and predict current and evolving dynamics of complex human and natural Earth-system interactions and to deliver actionable intelligence at scales and timeframes relevant
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to the discipline To supervise research associates working on the trial both within and out of the university To capture data from participants and their families Contribute to developing new models, techniques and