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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission
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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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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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the team, to effectively collaborate, and to communicate in a diverse scientific environment High proficiency in spoken and written English Interest in learning effective usage of emerging computational
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able to teach you missing skills during your induction. Our Offer: We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We
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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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The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early
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according to salary group E 13 TV-L) starting at the earliest possible date and limited for period of two years. The period of employment is governed by the Fixed Term Research Contracts Act
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) (subject to personal qualifications employees are remunerated according to salary group E 13 TV-L) starting October 1, 2025. The position is limited until June 30, 2029. The period of employment is governed
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) (subject to personal qualifications employees are remunerated according to salary group E 13 TV-L) starting October 1, 2025. The position is limited until June 30, 2029. The period of employment is governed