80 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation"-"U.S" positions at Technical University of Munich in Germany
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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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parameters to understand hydraulic thermal processes, develop innovative monitoring systems, evalua-tion and implementation methods like geothermal potential assessment as well as numerical reservoir modelling
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in the vicinity to the vibrant city of Munich, very well connected by train (ca. 30 minutes), and a perfect starting point to explore the Bavarian Alps and the rest of Germany. Working hours are
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scientific work. After an orientation period, you will have the opportunity to take over the leadership of a team in the EV Lab. Your professional and private development is very important to us and will be
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scientific career. About us TUM’s new Computational Pathology and Medical Machine Learning lab (*2021) develops methods of machine learning (ML) and artificial intelligence (AI) for the analysis of digital
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Munich, very well connected by train (ca. 30 minutes), and a perfect starting point to explore the Bavarian Alps and the rest of Germany. Working hours are flexible and remuneration is in accordance with
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-cell data has its own statistical and computational challenges, and standard tools often cannot be applied. The purpose of the position and goal of the project is to develop and apply bioinformatic tools
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Wohlleber is looking for a Post-doctoral researcher to investigate the regulation and dynamics of CD8 T cell immunity and identify mechanisms or pathways that will decide whether an HBV infection will develop
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
of Information-Oriented Control we focus on research and teaching of control and optimization of cooperative, networked, and distributed dynamical systems. We develop novel methods and tools for the analysis and
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required to create a holistic picture. Such additional information can improve the performance, help to reveal biases, or may enable to perform causal inference. We are interested in developing statistical