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(Wissenschaftszeitvertragsgesetz - WissZeitVG). The position aims at obtaining further academic qualification (usually PhD). Professional assignment: Chair of Knowledge-Aware Artificial Intelligence (Prof. Dr. Simon Razniewski
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techniques would be an advantage What we can offer you: A flexible work schedule allowing you to balance work and family, among other things the possibility of teleworking Secure and future-oriented employment
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supplementary pension benefits, child allowances, and special payments good work-life balance ("audit familiengerechte hochschule") For further questions, please feel free to contact Prof. Manzini via email
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institution. At the Faculty of Biology the Chair of Zoology and Animal Physiology (Prof. Dr. Schirmeier) offers a position as Research Associate / PhD Student (m/f/x) (subject to personal qualification
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Environment & Location: The successful candidate will be based in the Animal Metabolomics & Ecology lab (Dr. Fischer) within the Department for General and Systematic Zoology (Prof. Uhl). The department
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computing, domain-specific multi- and manycore architectures, networks-on-chip (NoCs), methods and algorithms for application parallelization, simulators and virtual platforms for application- and
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or the Deutschlandticket (Germany ticket) More information on about the IGZ you can find under www.igzev.de . For questions, please contact: Prof. Franziska S. Hanschen (+49 (0)33701 78 250; hanschen at igzev.de ). We
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of Prof. Dr. Frank Cichos and Dr. Nico Scherf (Max Planck Institute for Human Cognition and Brain Sciences). The position is part of a collaborative project in the Center for Scalable Data Analytics and
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of the university central mail service or the time stamp on the email server of TUD applies) to: TU Dresden, ScaDS.AI, Herrn Prof. Dr. Wolfgang E. Nagel, Helmholtzstr. 10, 01069 Dresden, Germany or via the TUD
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play a central role in this interdisciplinary initiative. They will: Develop and apply machine learning (ML) methods – including surrogate modeling, feature extraction, and inverse design algorithms