164 parallel-computing-numerical-methods positions at Technical University of Munich in Germany
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, or related disciplines, who enjoys interdisciplinary work in an international team. Willingness to work in the field, experience with ecophysiological methods and good English skills are required. You should
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: Interest in data science and data management Currently enrolled in a university study program, preferably in data science, computer science, statistics, or a related field (from semester 3) Very good
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academic supervision from Prof. Henkel. You will participate in the doctoral program of the TUM School of Management; after about a year, there is the possibility to apply for the School’s Academic Train-ing
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to contribute to groundbreaking work in our research area. About the Program: We are implementing a program that creates an additional two year postdoctoral position exclusively for female researchers working in
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develop methods and software tools that aid the design of microfluidic devices (also known as Labs-on-a-Chip). While these devices are mainly designed manually thus far, we investigate methods
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interactive and international environment. Numerous possibilities for further training in the sciences and beyond. Website of the Chair of Plant Systems Biology at TUM: http://sysbiol.wzw.tum.de Application We
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
control of such systems, taking particularly into account model uncertainties as well as limitations pertaining to acquisition of data, communication, and computation. We apply our methods mainly to human
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efficient. We develop new optimization methods, machine learning algorithms, and prototypical systems controlling complex energy systems like electric grids and thermal systems for a sustainable future. These
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to engineering. For more information, visit our webpage www.epc.ed.tum.de/en/mfm. Your profile - M.Sc. degree in chemistry, physics, or informatics (candidates that will soon obtain the degree are also welcome
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). AI methods, and especially machine learning (ML) with deep neural networks have replaced traditional data analysis methods in recent years. The Technical University of Munich (TUM), together