72 optimization-nonlinear-functions-"Prof" PhD positions at Technical University of Munich
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features with an emphasis on vegetation complexity, urban infrastructure, and bird diversity. The thesis is part of a greater project studying urban green space and soundscapes and how these relate to human
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for clinical use. The Chair of Biological Imaging (CBI) at the Technical University of Munich (TUM) and the Institute of Biological and Medical Imaging (IBMI) at Helmholtz Munich are an integrated, multi
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Wood Science" promotes the innovative and sustainable use of wood-based materials and products through research, teaching and development projects. About the project: The objective of the work is to
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. The main focus is developing and characterizing metallic high-performance materials for/through additive technologies using experiments and computer-aided methods. Furthermore, the chair is dedicated
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enthusiastic PhD researchers. Tasks and project As part of a research project, you will be part of a dedicated group developing software for autonomous vehicles. Your research project focuses on enabling
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enthusiastic PhD researchers. Tasks and project: As part of a research project, you will be part of a dedicated group developing software for autonomous vehicles. Your research project will focus on quantifying
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(e.g. econometrics, statistics) interest in natural resources, agriculture or the general food system and related technology a high motivation and the ability to work independently with a strong team
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. You must hold a master’s degree in Electrical Engineering, Computer Science, Mathematics, or similar. The work is interdisciplinary and we will closely collaborate with a group at the chemistry
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clinical use-cases for benchmarking existing state-of-the-art (SOTA) Federated Learning algorithms. This includes running a few pre-processing pipelines. Develop SOTA FL algorithms that tackle data
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learning to push our understanding of the robustness and explainability of Federated Learning models. Your responsibilities: Build and create clinical use-cases for benchmarking existing state-of-the-art