170 parallel-computing-numerical-methods-"Simons-Foundation" positions at Technical University of Munich in Germany
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08.09.2021, Wissenschaftliches Personal The Professorship of Machine Learning at the Department of Electrical and Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13
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qualification program for PhD students containing excellent multidisciplinary training with tailor-made subject-based and soft skills courses, annual retreats, summer school, and a supervision concept. More
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, simulation, and verification methods and software for emerging computing technologies. Our focus on interdisciplinary partnerships and networks will enable you to meet many interesting people (at places all
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of acquisition, organization, compression, analysis, and visualization of georeferenced or geometric data in large scales. We put emphasis on methods of distributed computing, machine learning, image and text
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of Computation, Information and Technology (CIT), located on the Garching Campus, starting October 01, 2025 or later. The group is seeking a highly qualified candidate for a postdoctoral position who possesses
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research in the broad field of computational methods for the built environment. Particular emphasis is placed on building information modelling, digital drawings, point cloud capturing and processing as
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The Professorship of Public Policy for the Green Transition (PPGT) focuses on designing and evaluating policies for the green transition worldwide. The group uses a variety of methods from automated data analyses
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in Earth Observation develops innovative methods for information extraction from remote sensing data in close cooperation with the Department EO Data Science of the Remote Sensing Technology Institute
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Bioinformatics Position: The successful candidate will be a key member of an interdisciplinary team focused on the development and application of proteomic, metabolomic and bioinformatic methods to answer
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of Data Science (MUDS) to train the next generation of “data scientists” – interdisciplinary experts in applying, adapting, and developing methods for AI and data science tailored for a broad array of