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). ________________________________________ Your Responsibilities • Develop and implement Hyperspectral Imaging (HSI) methodologies for in-situ investigation of cultural heritage objects and architectural surfaces, covering VNIR and SWIR spectral
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the possibility of an extension. TASKS: Mathematical modeling and development of inverse methods (e.g. Bayesian inversion, optimization based methods, sparsity promoting methods based on L1-norm minimization and
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, adversarial attacks, and Bayesian neural networks. Excellent analytical, technical, and problem-solving skills Excellent programming skills in Python and PyTorch including fundamental software engineering
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, accounting for cars, buses, trams, bicycles, and trucks as a function of transport supply and travel demand. The objective of the project is first to develop assessment indicators based on the MFD
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candidate will show in-depth methodological and applied knowledge in the field of machine learning, especially deep learning, experiences in the area of uncertainty quantification, generative and Bayesian
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or equivalent in one of the following: law, and or/ ethics or other relevant field is required. Key Responsibilities Conduct research as outlined in the project’s objectives under the supervision
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the identity and plasticity of regulatory T (Treg) cells, in the context of autoimmunity. The primary objectives include: • to compare central Treg cell identity and function programs between mice and men in
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Zone B cells, mostly in the mouse. The primary objectives include: • Mapping the developmental trajectories of MZ B cells by various methods, including single cell sequencing • Investigating
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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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19.09.2023, Wissenschaftliches Personal The Bienert Lab is part of the TUM School of Life Sciences of the Technical University of Munich located in Freising-Weihenstephan. The main objective