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including in vivo and in vitro modeling, targeted and untargeted metabolomics, and stable isotope tracing to explore the role of mitochondrial transporters and enzyme systems in health and disease. Position
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reinforcement learning, computational rationality and user modelling, and simulator-based inference. The post-holder will work on a project from Professor Kaski’s UKRI Turing AI World-Leading Fellowship. Research
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, mechanistic simulations, and predictive AI models. Your work will help unlock new insights into disease mechanisms and inform potential treatments, diagnostics, and drug repurposing opportunities. Your role You
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observations and reanalysis data, coupled with detailed evaluations of climate model simulations that integrate the impacts of wind-farm wake effects on wind power production and local atmospheric conditions
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analysis. This digital transformation has also paved the way for innovations like AI-assisted morphological analysis. This project will research a self-produced AI model for automatically classifying plasma
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of microfabrication fundamentals. Experience with CMOS chip design, or proficiency in relevant EDA tools such as Cadence Virtuoso, Tanner EDA, L-Edit. Experience in Multiphysics modelling and simulation with COMSOL
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Stig Brøndbo 4th August 2025 Languages English Norsk Bokmål English English Faculty of Engineering Science and Technology PhD Fellow in signal processing and modelling in the seafood industry Apply
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of this position is to develop a massively parallel version of a computer code called Commander, and apply this to archival data from Planck HFI, new data from Simons Observatory, and simulated data from LiteBIRD, a
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performance under diverse operating scenarios, including power limitations, ambient environmental conditions, and human-device interactions • Validate simulation models using experimental data or benchmark
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the growth of the company. The need is to develop significantly larger system designs and simulations and to embed the added knowledge into the business as a legacy capability to reduce the reliance