74 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "Dr" scholarships at Technical University of Munich
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22.03.2021, Academic staff The 3D AI Lab at the Technical University of Munich is looking for highly motivated PhD students and PostDocs at the intersection of computer vision, machine learning, and
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. Requirements: Completed university degree in computer science or applied mathematics, remote sensing, geophysics, physics, or related areas Expertise in computer vision and/or machine learning (deep learning
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03.03.2023, Academic staff The gut microbiome plays a fundamental role in health and disease. CRC 1371 (Speaker Prof. Dr. Dirk Haller) focuses on the digestive tract and proposes
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extensive server infrastructure for research Excellent training and career support opportunities (courses, personal coaching, ...) Your qualifications Master’s degree in Computer Science, Computational
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Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong knowledge in Machine/Deep Learning with experience in discriminative models, adversarial attacks, and
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with team members and colleagues. Essential qualifications: M.Sc. in Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong knowledge in Machine/Deep
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26.07.2023, Academic staff The Professorship for Cellular Agriculture (Prof. Dr.-Ing. Marius Henkel) was established in September 2022. Cellular agriculture is a multidisciplinary field that
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Science. The PhD positions will be at the intersection of Data Science and Social Sciences and will focus on topics such as Explainable & Fair AI, AI Auditing, AI Alignment, and AI Safety in general. We
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on a dynamic project, we encourage you to apply. Contact: Prof. Dr. Marc Schmidt-Supprian marc.supprian@tum.de Tel.: 089-4140-4104 Klinikum rechts der Isar Technische Universität München TranslaTUM
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and Reliable Artificial Intelligence to be occupied starting from the 01.10.2022. The Trustworthy and Privacy-Preserving AI Group (PI: PD Dr. Georgios Kaissis) at the Institute for AI in Medicine