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seismic sensor net-works will enhance processing efficiency, early-warning capability, and stakeholder decision-making. Where to apply E-mail reunatech@rwth-aachen.de Requirements Research FieldEngineering
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to the project timelines and university/department requirements Where to apply E-mail reunatech@rwth-aachen.de Requirements Research FieldEnvironmental scienceEducation LevelMaster Degree or equivalent Skills
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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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maintaining accurate records. Above all, you need to have a can-do attitude driving you to learn, adapt and succeed. Desirable skills or willingness to learn to include: Toxicant exposure; experience in short
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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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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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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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written and spoken English skills High degree of independence and commitment Experience with machine learning and high-performance computing is advantageous, but not necessary Our Offer: We work on the very
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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