56 computer-algorithm-"DIFFER"-"Foundation-for-Research-and-Technology-Hellas" positions in Germany
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of quantum algorithms that can be successfully executed. To improve the computational capabilities of current quantum computers, crosstalk errors and decoherence of a quantum computer need to be characterized
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Willingness to familiarise yourself in depth with new topics in the fringe area between algorithm development, high-performance computing and experiment Good problem-solving skills Willingness to work in teams
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27 Nov 2025 Job Information Organisation/Company Academic Europe Research Field Biological sciences » Other Computer science » Other Medical sciences » Other Mathematics » Statistics Researcher
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new challenges in personalized oncology through the MASTER program. This prospective registry trial employs very comprehensive molecular profiling and integrated data analysis (WGS/WES, RNA sequencing
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27.10.2025 Application deadline: 30.11.2025 Are you excited about the possibility to explore ethical, philosophical, legal, epistemic or social implications of using machine learning in different
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companies can make effective use of quantum computers in the future and is developing suitable software solutions, algorithms, and tools for these applications. Utilize state-of-the-art ML architectures
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 3 months ago
algorithms to estimate human shape and motion in images, videos, RGB-D sequences, etc. Our approaches define the current state of the art. The Data Team is working closely with computer vision researchers
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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Max Planck Computing and Data Facility (MPCDF), Garching | Garching an der Alz, Bayern | Germany | about 2 months ago
Job Offer from October 10, 2025 The Max Planck Computing and Data Facility (MPCDF), in collaboration with the Max Planck Institute for Human Cognitive and Brain Sciences (MPI-CBS), is looking
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algorithms to compute similarity between interaction interfaces across millions of comparisons. This hinders identification of novel modes of protein binding, i.e. those predicted by AlphaFold, and it hinders