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energy use more efficient. We develop new optimization methods, machine learning algorithms, and prototypical energy management systems (EMS) controlling complex energy systems like buildings, electricity
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scientific development of this Working Group to support the Food Systems Biology approach at the Leibniz-LSB@TUM • Acquisition of third-party funding and scientific management of the research projects
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, conference participation, and doctoral training are available. Candidates are expected to participate and successfully complete the doctoral program at the TUM School of Management. Further information
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synthesized responses generated by AI-driven search engines? How does recommendation sentiment change with content presentation? Can we develop quantitative and qualitative metrics that accurately forecast
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Network (DN) project: AlignAI. The AlignAI Doctoral Network aims to train doctoral candidates in the interdisciplinary Large Language Model (LLM) research field. Location: Technical University of Munich
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develop methods and software tools that aid the design of microfluidic devices (also known as Labs-on-a-Chip). While these devices are mainly designed manually thus far, we investigate methods
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develop methods and software tools that aid the design of microfluidic devices (also known as Labs-on-a-Chip). While these devices are mainly designed manually thus far, we investigate methods
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Hospital (Prof. Martin Fischer). Your tasks and responsibilities Your responsibility will be to develop and and to contribute to the development of the adaptive scaffolding and the option for selfregulated
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/ simplified equations are used to describe LPC in different sectors. There is a strong need to advance our understanding of the LPC process and develop reliable physics-informed tools to predict and reverse
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Center TranslaTUM, which integrate bioengineering with metabolic disorders and oncology, respectively. IBMI scientists develop next-generation imaging and sensing methods to measure previously inaccessible