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to numerical analysis and optimization, as well as mathematical statistics and machine learning. The centre offers a lively academic environment where colleagues from many parts of the world come together
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include: Benchmark study: Compare and evaluate methods and models for digital twin simulation in autonomous shipping, and integrate them into a cohesive model. Energy optimization: Develop a dynamic energy
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methods and models for digital twin simulation in autonomous shipping, and integrate them into a cohesive model. Energy optimization: Develop a dynamic energy optimization model for hybrid and electrified
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of the active material through an intrinsic buffer effect. The overall aim is to design new materials and optimize fundamental battery performance, as well as to achieve increased mechanistic understanding
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for energy and industrial applications. You will work experimentally with catalyst development, reactor testing, and process optimization with ASPEN. The research includes operating high-temperature systems
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prediction metrics to optimize patient care. Identifying and addressing care gaps: Evaluating disparities in clinical management, assessing their impact and evaluating targeted interventions to improve them
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XLZD. XENONnT is a dual-phase liquid xenon TPC at LNGS with a 5.9-tonne active mass, optimized for WIMP detection with sensitivity to spin-independent cross sections down to ~10⁻⁴⁸ cm². Its low
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(LLM), and optimization algorithms. Collaborating with our team to transform research insights into practical, impactful solutions. Staying abreast of the latest advancements in ML, transformers, graph
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by, computational chemistry to optimize and predict process parameters. The Department of Engineering and Chemical Sciences, with approximately 60 employees, is a part of the Faculty of Health, Science
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in-situ/operando battery capabilities. You will explore the electrochemical response of operando cells compared to typical lab-based cells and optimize electrode geometires.This project is part of