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computational methods for the control, optimization, and coordination of complex dynamical systems. The work will emphasize applications to multi-agent systems, including robotics, autonomous systems, and
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will use follow up on datasets exposing complex cell states when cells try but fail to mature. You will work to validate these cell states and identify key regulators, testing them using genetic
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of the position is the development and application of finite element methods for modelling static strength and fatigue behaviour, as well as design and optimization of complex structures. You will work
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tools such as R or Python. Ability to design, execute, and troubleshoot complex experiments independently. Ability to organize and prioritize work across concurrent experiments and coordinate with a multi
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of the nitrogenase complex. How to apply The University of Oxford is committed to equal opportunity, and to being a place where everyone belongs and is supported to succeed. We recognise how
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, supervised and unsupervised machine learning, and complex data fusion; proficiency in parametric and non-parametric statistical methods, bootstrapping simulation techniques, and experimental design; advanced
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 15 hours ago
experience with a modern deep-learning framework such as PyTorch or TensorFlow. Experience developing, training, and evaluating machine-learning models using complex biomedical, imaging, or other high
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or managing research teams or complex projects. -Experience working with interdisciplinary teams and community or state agency partners. -Experience with mixed-methods research designs. Deadline to Apply 09/30
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clinical research projects focused on aortic disease and complex endovascular aortic repairs. Responsibilities include protocol development, study design, data collection and analysis, interpretation
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protein complexes and sample preparation for either MX or cryo-EM SPA, with focus on protein targets. Main efforts will be devoted to the use of single‑particle cryo‑EM and MX techniques, with opportunities