59 computational-physics "https:" "https:" "https:" "https:" "Caltech" Postdoctoral positions at Technical University of Munich
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24.02.2022, Academic staff The Munich Quantum Valley aims at developing a full quantum computing stack, from the application level to the physical quantum hardware. Within this interdisciplinary
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, an existential threat to Europe and the world, impacts the safety, comfort and health of humans and vegetation. It is the largest environmental cause of multiple mental and physical diseases and of premature
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are modeled using information theory. We wish to investigate how interleaving can reduce the overhead and computational load due to coding coefficients required in classical linear random network coding
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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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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
for sustainability, new concepts for security and solutions for current latencies in communication networks. Find out more about the project under https://6g-life.de/ About us: At the Chair of Information-Oriented
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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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related field (e.g. battery technology, automotive engineering, electrical engineering) and have previously completed your master's degree in a technical field, such as mechanical engineering, computer
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and coded computing (1 postdoc, 1 PhD, Antonia Wachter-Zeh, antonia.wachter-zeh@tum.de) • Theory for communication systems beyond Shannon's approach (1 postdoc, 1 PhD, Christian Deppe, christian.deppe
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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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Freising, Germany Tel. +49 8161 71 3961 patrick.bienert@tum.de https://www.mls.ls.tum.de/en/cropphys/home/ www.tum.de The position is suitable for disabled persons. Disabled applicants will be given