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Max Planck Institute for Astrophysics, Garching | Garching an der Alz, Bayern | Germany | 3 months ago
Job Code: 01/2026 Job Offer from January 29, 2026 Applications are invited for a postdoctoral research position focused on the development of advanced computational and statistical methods
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interdisciplinary Convergence Environment under UiO:Life Science , based at the Natural History Museum, and in collaboration with the Department of Mathematics, the Department of Biosciences and the Department
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and contributing to reusable research software when appropriate. Position Requirements Required skills, experience and qualifications: PhD in computer science, applied mathematics, electrical
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publications in two or more of the following areas: o Quantum communication systems or quantum networking o Wireless communication and networking o Statistical learning and optimization o Algorithm
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the Machine Learning and Artificial Intelligence. Solid mathematical and analytical skills. Knowledge about statistical machine learning, robotic perception, multimodal AI algorithms. Experience in programming
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) Engineering (29 ) Environmental and Marine Sciences (14 ) Life Health and Medical Sciences (51 ) Mathematics and Statistics (11 ) Other Non-Science & Engineering (13 ) Physics (16 ) Science
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-anticipation Brief Theme Description: Current Foundation Models (FMs) excel at high-dimensional statistical pattern matching, yet they often lack an internal representation of the causal dynamics governing
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discipline Desirable: • very good programming skills • intensive up-to-date knowledge and experiences in computer vision or pattern recognition or applied mathematics • interests in cooperation with veterinary
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experimental methods involving behavioural and cognitive measures; collecting and analysing salivary oxytocin; supporting the analyses of (epi)genetics; conducting advanced statistical and analytic analyses
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medicine through discoveries in physics, mathematics and computational science. Please visit laufercenter.org to learn more about the Center and the Carlini lab's research. The incumbent will conduct