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a state-of-the-art Earth system models(UKESM). We are looking for someone experienced in analysing output from large, complex climate models or Earth system datasets, and who is experienced in or keen
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in animal models. A Ph.D. in Pharmacology, Biochemistry, Molecular Biology, Cell Biology or Physiology, and knowledge and experience with molecular methods is required. Experience in cardiovascular
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related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research
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/Scientist to join the Thoracic Aorta Research Lab and conduct experiments at the North Campus Research Complex (NCRC). Aortic disorders are major causes of morbidity and mortality in the United States. The
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experience in data-knowledge fusion-driven dynamic modeling of complex structures, specializing in uncertainty quantification of nonlinear systems and intelligent model order reduction methods, with at least
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Sciences . It includes mathematical and physical modelling, numerical simulations of materials and nanosystems, low-dimensional systems, quantum matter, statistical physics, and complex systems
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algorithms, including machine unlearning techniques, to enhance model robustness and reliability. Design and execute rigorous AI testing frameworks to assess and mitigate risks in AI systems. Collaborate with
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resting conditions. The researcher will use a combination of synovial tissue organoid systems and transgenic mouse models to delineate the role of the proteoglycan-4 (the gene that encodes lubricin) in
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. Experience of the development, validation, analysis and reporting of complex decision analytic cost effectiveness simulation models. Experience of the application of advanced value of information analysis
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becoming standard practice. However, achieving formal assurance of software correctness remains a complex challenge. Seminal work in programming language semantics provides powerful frameworks