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billion, the Helmholtz Association is Germany's largest scientific organisation. Where to apply E-mail personal@hzg.de Website https://www.hereon.de/cms60/career/vacancies/029675/index.php.en Requirements
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/ part-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline No deadlines For details, see here: https://www.gradschool.physics.uni-bonn.de
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. The position is suitable for part-time employment. Reference is made to our job offer https://www.uni-goettingen.de/en/644546.html?filters={%22vollzeit%22: [],%22befristet%22:[],%22gruppe%22
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the Appointment Portal of the University of Bonn (https://berufungsportal.uni-bonn.de ). The application can be submitted in German or English by May 8, 2026. Dean’s Office in the Faculty of Medicine University
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thesis will be appropriately remunerated by us In addition to exciting tasks and a collegial working environment, we offer you much more: https://go.fzj.de/benefits We welcome applications from people with
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on the processing of personal data as part of the application and selection process, please refer to the privacy policy on our website at https://www.senckenberg.de/en/imprint/ Please visit our website
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methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team orientation excellent
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reproducible research practices. Your responsibilities Develop and implement computer vision and image processing algorithms for star tracking and satellite detec-tion using event cameras. Design and build a
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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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the development and application of probabilistic inference methods and machine learning techniques for quantitative uncertainty modeling and for the integration of heterogeneous climate data