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the course of the application process pursuant to Art. 13 of the General Data Protection Regulation of the European Union (GDPR) at https://portal.mytum.de/kompass/datenschutz/Bewerbung/. By submitting your
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motivation, copy of graduation certificates (university, school), (all in one single pdf!) including the reference code “FB Immu 01/25” until the 12.01.2026 preferably by mail to bewerbung(at)ifado.de . (*We
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verschiedene Projekte in Bereich E-Mental Health durch (weitere Informationen unter https://www.sg.tum.de/digitalhealth/startseite/ ) The position is suitable for disabled persons. Disabled applicants will be
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research project, and the training programme is available on the RTG webpage (https:// www.uni-goettingen.de/rtg2906). Applications are due by 15.01.2026. We ask you to submit your written application as a
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coding skills Mathematical background for modeling and analytics Openness for collaboration within our research group, inside the project, and beyond Curiosity and creativity to explore new
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or see http://www.dpz.eu. For more information about the Leibniz Association see www.leibniz-gemeinschaft.de
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skills, ability to interact with scientists at different levels good software design skills and the ability to write clean, and reusable code in machine learning, deep learning frameworks, such as
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coding skills to design highly efficient algorithms. Solid knowledge in the areas of algorithmics, optimization problems, as well as experience with SAT/SMT solvers or machine learning is an advantage
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GPN website for updates: https://www.uni-kassel.de/forschung/global-partnership-network/resources-funding/thomas-sankara-phd-scholarships Possibility of association as PhD/post-doc candidates
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the topic: 1. M Balaish, JLM Rupp, Widening the Range of Trackable Environmental and Health Pollutants for Li‐Garnet‐Based Sensors, Advanced Materials, 2021; https://doi.org/10.1002/adma.202100314 2. M