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silico approaches. This may include mathematical modeling of biological systems, machine learning and artificial intelligence methods, and the development of innovative algorithms and software pipelines
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9 Feb 2026 Job Information Organisation/Company Technical University of Munich Department Computer Engineering Research Field Technology » Communication technology Researcher Profile First Stage
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 8 days ago
Website https://www.hzdr.de/job2202e Requirements Additional Information Website for additional job details https://www.hzdr.de/job2202e Work Location(s) Number of offers available1Company
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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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machine learning Perovskite-based materials for thin-film transistors, memristors, light-emitting diodes, solar cells, and quantum computing The qualifications and skills required to head an institute
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research with the combined tools of immunology, microbiology, virology, cell biology and molecular biology. For more information, please see https://www.mhh.de/hbrs/zib MD/PhD Molecular Medicine
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the school context in particular,social work makes a significant contribution to socially securing educational processes,supporting transitions, reducing disadvantages and creating inclusive learning
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The Faculty of Electrical Engineering and Computer Science, Leibniz University Hannover | Hannover, Niedersachsen | Germany | 25 days 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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to application at http://www.kseta.kit.edu/application.php . Further information about the KSETA Europe application procedure, available research topics, subjects for doctoral dissertations and the KSETA
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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