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signals perceived, and how is information transmitted and integrated to ensure plant health, survival, biomass acquisition and seed formation? How can we manage, analyse and integrate complex, large-scale
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networks self-organize their architecture. We are looking for a PhD student (m/f) to join our team at the TUM. Task Flow networks are a fundamental building block of life. Transport by flow is the main task
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processes, and the application of AI methods in engineering. Description: Nowadays, computer-aided manufacturing (CAM) methods are used to a large extent for the production of complex machine components, in
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02.05.2022, Wissenschaftliches Personal Join the team of Prof. Karen Alim at the TUM Campus Garching to investigate how the complex organism-scale behaviour in the slime mould Physarum
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energy use more efficient. We develop new optimization methods, machine learning algorithms, and prototypical systems controlling complex energy systems like electric grids and thermal systems for a
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storage Innovation in the Machine Learning algorithms for EDA in terms of Computational Complexity, Performance Scores, etc. To learn more about our previous work, please check out our website
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models and neural networks that handle the many challenges of integrating such complex medical data sources on large-scale studies and the translation to clinical practice. Qualifications PhD in (Bio
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and to be able to use all algorithms in the real vehicle. By taking a particular look at complex scenarios, such as driving dynamic limits, unstructured environments or problems from ethics, we extend
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integration of vehicles into mobility and energy systems. We improve the efficiency, sustainability and economics of electric vehicles by optimizing and accelerating the integration of components up to complex
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programming skills in a higher programming language (e.g., Python, Java). You already work with traffic simulations and digital twins, or they spark your interest. You break down complex topics by approaching