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Leibniz University Hannover, Faculty of Mathematics and Physics Position ID: LUH_MAPHY-ARITHGEOM26 [#27523] Position Title: Position Type: Postdoctoral Position Location: Hannover, Lower Saxony
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Leibniz University Hannover, Faculty of Mathematics and Physics Position ID: LUH_MAPHY-ALGCOMB26 [#27544] Position Title: Position Type: Postdoctoral Position Location: Hannover, Lower Saxony 30167
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Research on long-term terrestrial paleoclimate and/or tectonics-climate interactions Participation in and contribution to an active, high-quality research program, as evidenced by publication in scholarly
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(typically mathematics, physics). For Postdocapplicants: Excellent track recordin computer science or engineering. Fluency in spoken and written English is required. Proficient in at least one programming
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writing. Drive the publication of research results in top-tier robotics conferences and journals. Requirements Ph.D. in Robotics, Mechanical Engineering, Electrical Engineering, Computer Engineering, or a
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applying computer science methods within the context described above. In particular, you will coordinate the contributions of the professorship to the EU project INTELLIGENT (https://intelligent-project.eu
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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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. 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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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