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03.06.2021, Wissenschaftliches Personal The Albarqouni lab develops innovative deep Federated Learning (FL) algorithms that can distill and share the knowledge among AI agents in a robust and
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03.06.2021, Wissenschaftliches Personal The Albarqouni lab develops innovative deep Federated Learning (FL) algorithms that can distill and share the knowledge among AI agents in a robust and
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Max Planck Institute for the Study of Societies • | Koln, Nordrhein Westfalen | Germany | 2 days ago
you will learn the specific methods you need for your project Feedback from experienced research advisers Excellent research facilities Instruction in English Thesis may be written in English or German
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: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail
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employees are remunerated according to salary group E 13 TV-L) starting as soon as possible. The position comprises 65% of the full-time weekly hours and is limited to 3 years. The period of employment is
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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
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German TVL-E 13 payment scheme (or a roughly equivalent scholarship). The exact salary varies slightly depending on personal circumstances, the affiliated institution and the teaching load the position
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Germany's largest scientific organisation. Where to apply E-mail jobportal@careerservice.kit.edu Website https://jobs.pse.kit.edu/en/jobs/168928/phd-position-fmd-part-time-75-x-ray-spe… Requirements
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public transport (LandesTicket Hessen) More than 100 training seminars, workshops and e-learning opportunities per year for personal development, as well as a wide range of health and sports activities
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, mathematics, engineering, natural sciences or other data science/machine learning/AI related disciplines Language requirements English C1 or equivalent Application deadline January, please see website for exact