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, randomized data structures, high-performance computing, and quantum algorithms. Beyond this research, we aim to support computational thinking and computational problem-solving in the Earth sciences at large
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Faculty of Medicine of the University of Cologne | German Cancer Research Center (DKFZ) | Gronau Westfalen, Nordrhein Westfalen | Germany | 3 months ago
appointment according to the “Jülicher Modell”). The chair will be newly established at the NCT West, Campus Cologne (https://nct.dkfz.de/standorte/nct-west.html ). The NCT is a long-term collaboration between
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excitations and excitonic effects using advanced Wannier-based methods * Quantum transport in polymer materials with electron–phonon coupling Full details and application instructions: https://www.ch.nat.tum.de
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) and the University of California Irvine (UCI). The Research School "Foundations of AI" focuses on advancing AI methods, including energy-efficient and privacy-aware algorithms, fair and explainable
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important roles: data management and engineering, machine learning and data analytics, signal and image processing, algorithm design, optimisation and simulation, software engineering and automation and
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Manipulation in Cluttered and Dynamic Environments (ID: TUEILSY-PHD20240930-SCMM) A more detailed topic description can be found at https://www.ce.cit.tum.de/lsy/open-positions/open-phd-positions/ . Requirements
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and experience in both experimental molecular biology and data analysis, with possible specialisations in genomic and molecular biology techniques as well as in algorithms, statistics and artificial
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algorithms and data structures, machine learning, computer graphics and vision, database systems, artificial intelligence, logical methods, programming languages, computer architecture, and security, to name
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. In the ELUD research project, we address the question of if and when learning agents converge to an efficient equilibrium and when this is not the case. ELUD will design new algorithms for computing
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to guarantee user-defined error bounds of reachable sets for nonlinear and hybrid systems. This project will exactly close this research gap: We will develop essentially new methods to ensure that algorithmic