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projects; this can entail working alongside domain experts to extract relevant knowledge, and programming using suitable models to infuse that knowledge with ML methods, thus aiming to optimize performance
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learning, optimisation, system modelling, or related quantitative methods, as acquired through master’s level coursework and project work. Familiarity with data driven modelling approaches relevant to energy
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- cancerous- and neurodegenerative diseases. In the project, patient cells, model- and reporter-minigenes, gene editing and animal models, as well as in vitro RNA binding techniques and bioinformatics will be
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student to work within the ADaM project (Autonomous workflows for Data-driven first-principles Modelling). The project will leverage Large Language Models (LLMs) as active software agents to help automate
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, Spectre, or Mentor Graphics. Understanding of semiconductor device physics, especially MOSFET operation, modeling, and scaling. Strong analytical and problem-solving skills, with the ability to work
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, with a focus on policy, economic, and cultural implications. The center is recognized for its strong profile in analytical demography, demographic modeling, and forecasting. Its research meets
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of hydride (H–) - this project aims to use small synthetic models of these redox-active cofactors to drive multi-electron redox reactions inside new metal–organic frameworks. Research Group The McPherson group
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robotic research platform and an automated ‘Device Doctor’ for perovskite solar cells. The goal is to combine high-throughput experimentation, machine learning, and advanced modeling to accelerate device
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complex anatomical structures such as blood vessels, the bronchial tree, and endoscopic pathways. Despite their potential, challenges remain in accurate modeling, sensing, and control due to their highly
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team of appr. 60 researchers specialized in robot solutions involving modelling, estimation, and control of advanced robot technologies. The group is involved in a variety of national and European