681 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" uni jobs in Germany
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of Bonn (https://berufungsportal.uni-bonn.de ). The application can be submitted in German or English by May 3rd , 2026. Dean’s Office in the Faculty of Medicine University of Bonn Venusberg-Campus 1| Haus
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behavior on crystal defects. Perform active research on the materials synthesis, characterization, and device fabrication. Receive individual trainings to learn state-of-the-art methodology, comprising
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of the whole institution. The Cluster of Excellence REC² offers (subject to the availability of resources) at the Faculty of Electrical and Computer Engineering, Institute of Semiconductors and Microsystem (IHM
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publications, an overview of your research and teaching activities as well as transcripts and a selection of recent course evaluations online at https://berufungsportal.uni-frankfurt.de by 05 April 2026. If you
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estimation, causal discovery, and concept-based explanation techniques Integration of causal and XAI methods into machine learning pipelines within the CRC 1294 “Data Assimilation” Implementation, evaluation
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to have a fluent command of written and spoken English with an extensive vocabular (at least B2 level according to the CEFR: https://go.fzj.de/languagerequirements ), ideally supported by a certificate
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at: https://www.ipb-halle.de/en/institute/ Where to apply Website https://www.academiceurope.com/ads/research-associate-in-ai-guided-barley-adapt… Requirements Research FieldBiological sciences
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The Faculty of Electrical Engineering and Computer Science, Leibniz University Hannover | Hannover, Niedersachsen | Germany | about 1 month ago
development of intelligent systems capable of learning from their environment, interacting, and solving complex problems independently. Close cooperation with the institutes of the faculty as well as an active
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Solid knowledge and experience with CAD (Computer-Aided Design) programs and the creation of technical drawings Fluency in spoken and written German (min. CEF Level C1) Fluency in spoken and written
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physiology is an asset Experience in statistics and data analysis of large data sets (including time series analyses and machine learning) Good programming skills Very good communication and interpersonal