160 web-programmer-developer-"PhD-Jobs.NET" positions at Technical University of Munich
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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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to be developed. One promising research direction is the use of physics-informed deep learning, such as physics-informed neural networks or deep neural operator networks. Tasks: Work in a team on national
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27.05.2025, Wissenschaftliches Personal The successful candidate will be a leading member of an interdisciplinary team focused on the development and application of proteomic approaches to answer
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regeneration in the forest interior“we aim to develop innovative remote sensing approaches to enhance the mechanistic understanding of the effects of increasing forest disturbances on closed canopy forests
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31.07.2023, Wissenschaftliches Personal Within the Joint Academy for Doctoral Studies (JADS) program of Technical University of Munich and Imperial College London, the Professorship of Energy
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Spatial Development run by Prof. Dr. Lindsay Blair Howe and the newly established Centre for Urbanisation and Peripheralization (CUSP). About us and the position The Technical University of Munich (TUM) is
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prepare thin films and investigate the film morphologies using optical microscopy, atomic force microscopy (AFM) and grazing-incidence small-angle X-ray scattering (GISAXS) at the synchrotron, also in situ
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, giving quantitative insight into physical processes at the nanoscale. The candidate will develop the next generation of neural network potentials and apply them to problems from different scientific fields
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smart grid). While there has been tremendous progress in formal verification of cyber-physical systems, existing approaches still require expert knowledge. The main goal of this project is to develop
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PhD position in interpretable machine learning for dementia prediction. The project focuses on developing interpretable deep learning models for dementia prediction using multi-modal data, including MRI