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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | about 1 hour ago
institute of the Max Planck Society and is dedicated to the study of human cognitive abilities and brain processes as well as the development of neuroimaging methods. The Brain Networks Group, led by
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benefits are in accordance with the German public sector scale, TV-L E13. Your Qualification: Strong mathematical background (e.g., linear algebra, optimization, formal methods, convex geometry). Master's
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conducted in close collaboration with Everllence (formally known as MAN Energy Solutions). The developed methods have to be tested in simulation and on real engines. Previous Work https://openreview.net/pdf
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position is a PhD in physics, computer science, statistics, or a related field. The candidate should: Be interested in statistical inference and methods, with a focus on the Bayesian approach. Possess solid
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are integrated into the junior faculty of the Department of Economics at LMU. The position has no formal teaching obligation; however, limited teaching is encouraged. Candidates should hold a PhD in economics or
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propose to combine machine learning techniques with formal methods. We will focus on safe reinforcement learning of motion planning problems for autonomous vessels. Motion planning is particularly
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derivation, analysis, and comparison of numerical methods and simulation approaches for the solution of PDEs Formal proofs, e.g., for convergence, existence, and uniqueness of solutions Fast prototyping of new
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 2 months ago
and refine methods to address new mathematical questions. Contribute to publications, proposals, and joint projects with internal and external partners. Present and discuss results at seminars and
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Max Planck Institute of Molecular Cell Biology and Genetics | Dresden, Sachsen | Germany | 24 days ago
Dresden . Your responsibilities: Drive independent and collaborative research in applied topology within the group’s thematic focus. Develop and refine methods to address new mathematical questions
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interdisciplinary team. Applicants with strong background in the following fields are preferred: Dynamical Systems Control Theory Formal Methods Machine Learning Context The applicant will be directly advised by Prof