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interaction Confident speaking and writing German and English In-depth knowledge of digital methods and tools Intrinsic Interest in analytical, creative and interdisciplinary thinking High level of commitment
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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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improve industrial processes by establishing a thorough understanding of the materials at different length- and time scales. Your project Milk protein concentrates (MPC) are dairy proteins which
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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission
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Institute) for the development of high-throughput omics assays, Kevin Verstrepen (VIB-KU Leuven) for synthetic biology, and Julien Gagneur for the AI and bioinformatics. EPIC aims at deciphering the complete
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background in a technical field such as computer science, bioinformatics, mathematics, computational life sciences or related. Profound knowledge in machine learning, preferably deep learning for image data. A
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up an agent-based simulation to evaluate novel processes and technologies towards more resilient and highly efficient aircraft, passanger, baggage and cargo handling. About us As member of
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are unfortunately unable to return your application documents once the procedure has been completed. As part of your application for a position at the Technical University of Munich (TUM), you will be submitting per
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consultancy and teaching projects Your qualification: • Studies (with Master or PhD degree) of mathematics, statistics, bioinformatics, epidemiology or related subjects. Applicants expecting to finish
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the collection and processing of personal data as part of your application. By submitting your application, you confirm that you have taken note of TUM's data protection information. Find out more about us at