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for new quantum computing algorithms. It will rely on statistical structure learning represented by knowledge graphs and efficient low-rank tensor compressions. We are looking for: A completed scientific
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code via differential testing)We focus on techniques that apply to real-world software systems. E.g., in the past, we have developed techniques that find and fix bugs in widely used Python, Java, C/C
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://www.ufz.de Street Permoserstraße 15 Postal Code 04318 E-Mail info@ufz.de Phone +49 341 6025 1269 Fax +49 341 235-2649 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail
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that consists of your name and the code “Predocs_PB2_25.1” (e.g. “Max_Mustermann_Predocs_PB2_25.1”). The application deadline is April 28th , 2025, 23:59:59. Unfortunately, application expenses cannot be
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://www.ufz.de Street Permoserstraße 15 Postal Code 04318 E-Mail info@ufz.de Phone +49 341 6025 1269 Fax +49 341 235-2649 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail
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with ML/DL workflows and common software libraries Your experience should be documented in research papers and Open Source code projects Self-motivated personality with a curiosity for working in a
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of offers available1Company/InstitutePhilipps-Universität MarburgCountryGermanyGeofield Contact State/Province Hessen City Marburg Website http://olallalab.org/ Street Hans-Meerwein-Straße 4 Postal Code 35043
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Max Planck Institute for Chemical Energy Conversion, Mülheim an der Ruhr | M lheim an der Ruhr, Nordrhein Westfalen | Germany | 3 months ago
Job Code: SDB002 Job Offer from February 07, 2025 The Max Planck Institute for Chemical Energy Conversion (MPI CEC) in Mülheim an der Ruhr studies fundamental chemical processes for energy storage
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://www.ufz.de Street Permoserstraße 15 Postal Code 04318 E-Mail info@ufz.de Phone +49 341 6025 1269 Fax +49 341 235-2649 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail
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, such as evaluating the robustness of their ML pipelines to data errors and potentially leverage the code generation capabilities of large language models. The resulting methods will be accompanied by