29 web-programmer-developer-"https:"-"https:" uni jobs at Technical University of Munich
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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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datasets (SQL, Python, R) Develop reproducible data pipelines and perform statistical analyses Visualize trends and outcomes in patient data Collaborate closely with clinicians, statisticians, and IT
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and adaptability. This research project aims to pioneer the next generation of recommender systems by moving beyond static methods. The core of this PhD is to develop a generative multimodal recommender
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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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for the built environment will be developed in collaboration with teams led by Prof. Dr.-Ing. Matthias Niessner (Chair of Visual Computing and Artificial Intelligence, School of Computation, Information and
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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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and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods
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immunology, specifically on Marginal Zone (MZ) B cells. Project Overview: The successful candidate will contribute to an NIH-funded project aimed at understanding the development and maintenance of Marginal