57 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" research jobs at Technical University of Munich
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: https://www.pisa.tum.de/pisa/jobs/ Für eine der PISA Hauptdomänen (Lesen, Mathematik, Naturwissenschaften) nach Wahl wird zum nächstmöglichen Zeitpunkt ein*e Postdoc gesucht. Nähere Informationen zur
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and written English and the will to acquire a certain working language of German. What we offer We offer The Chair Group of Production and Resource Economics offers a highly international and
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) to determine greenhouse gas and pollutant emissions in cities using atmospheric measurements (MUCCnet: https://atmosphere.ei.tum.de/ ) and in-situ sensor networks in ICOS Cities project (https://www.icos-cp.eu
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is expected. Background Information: Nat. Chem. 2015, 7, 105; Chem. Eur. J. 2019, 25, 4590; Angew. Chem. Int. Ed. 2019, 58, 418; Nanoscale 2021, 13, 19884. www.sengegroup.eu https://www.ias.tum.de
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, development, and evaluation of Machine Learning and Deep Learning methods Prototype development Literature review Publication and presentation of scientific results in international conferences and related
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, 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 analysis
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for Preventing Stomach Cancer 18.03.2026 The order of the quantum world 18.03.2026 150 Years of Electrical and Computer Engineering at TUM RSS Todays events no events today. Calendar of events Find more topics on
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related field. Strong background in robotics, estimation, control, or machine learning. Strong proficiency in Python and/or C++ and experience with ROS/ROS2. Demonstrated research experience (e.g., Master’s
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on the nanoscale (previous works e.g.: https://www.nature.com/articles/s41563-019-0555-5). You will also supervise one PhD student who will work on a complementary topic guaranteeing quick output and an ideal
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multimodal vision-language models for prompt-based 3D medical image segmentation Work with large-scale clinical CT datasets and scalable deep learning pipelines Validate models in close collaboration with