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modelling, resilience assessment, or climate risk modelling #familiarity with Nature-Based Solutions (NBS) and their role in drought adaptation #strong analytical skills and proficiency in modelling tools
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, geometallurgy or related field Experience in either stochastics, deep learning or minerals processing is needed Structured and solution-oriented working style, analytical thinking and above-average committment
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of surface chemistry Analytical methods such as DSC, TGA and mass spectroscopy Fundamentals of materials science and basic knowledge of the sintering process in power electronics Structured, independent and
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interested in the semiconductor industry and related technologies. You have very good analytical skills and a structured approach to data analysis. You communicate confidently in German and English, both
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of analytics such as AFM, SEM, EDX, FIBE etc. You have practical experience in application-oriented and industry-related research and ideally have experience in the field of process development Ideally, you are
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-high vacuum and cryogenic systems Strong analytical and problem-solving skills, creativity, and an independent, goal- and solution-oriented work attitude Previous experience with high frequency equipment
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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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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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relationships across different languages. This will be examined through a conversation-analytic and interactional linguistic approach, based on video recordings of conversations and other social events involving
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of research focus include machine learning/learning analytics, multimodal assessment, adaptive learning in online settings, and the role of self-regulation in learning with AI. Close networking with