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Description Water can move in two interconnected realms: the fast, visible rivers at the surface and the slower, pressure-driven flow within substrates. Today, engineers can model each realm
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tenured W3 position. ScientificEnvironment The professorship will be assigned to the Department of Engineering Physics and Computation at the TUM School of Engineering and Design. Responsibilities
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High motivation and enthusiasm for working in an interdisciplinary research environment Research focus: The successful candidate will conduct research on data-driven modeling of transportation systems
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, technology-driven start-ups. To do this, we rely on talents like YOU – with a mix of deep tech projects, financial support, professional premises, and a strong network of mentors and coaches. Become part of
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check whether the model can reliably predict the parameters of a demonstrator component What you bring to the table You are studying industrial engineering, physics, computer science, mechanical
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scientists. We seek to appoint an expert in the research area of Machine Learning for Sustainable Processes and Materials with a focus on data-driven methods for modeling, analyzing, and optimizing complex
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and verifiably safe. We consider resilience and intelligence to be part of the same process. What you will do Quantum Computing is a novel, disruptive technology with the potential to speed up
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bold and important questions in relevant thematic areas, including but not restricted to: integrative structural biology, whole-cell modelling and/or ML/AI-driven approaches to model macromolecular
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classifies regions according to the urgency of waste management needs by applying data-driven techniques to model PV module waste flows and propose optimized strategies for both recycling and reuse
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the Institute of Advanced Simulation – Materials Data Science and Informatics (IAS-9) and the Institute of Energy Materials and Devices – Structure and Function of Materials (IMD-1) to establish a data-driven