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efficiently. c) Integrate planning and control algorithms with differentiable simulation technologies to build a trajectory data collection system that generates high-quality, diverse task data for vision
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%20Programmes/MCCS%20Programme). The primary role involves developing and validating CFD models to study wave attenuation by mangroves, seagrass, and coral. Responsibilities include calibrating simulations with
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methods for use across developmental biology and more widely. Current activity involves work on the following aspects: development of new techniques for assessing and modelling the states and dynamics
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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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processes as droplets/condensates wet membrane compartments in cells. Numerical simulations and theoretical membrane models will be developed, aiming to couple viscous interfacial fluid flow, elastic
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now’ to complete your details. Please upload a copy of your CV and Cover Letter with the application. Informal enquiries may be addressed to Graham Naylor, graham.naylor@nottingham.ac.uk Please note
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complete application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from
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develop AI models to predict and study the tumor evolution and lineages using the multiomic measurements from both bulk, single-cell, and spatial technologies. The lab emphasizes understanding
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performance leveraging also on reduced order models from high fidelity multiphysics simulation tools. This job position would involve the use of AI / ML for surrogate modeling, multi-objective optimization and
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or soon thereafter. Required Documents: - Cover letter explaining the interest in the position and relevant background; - Detailed Curriculum Vitae with transcripts, - Copy of the relevant certificates