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well as technology-based, psychological assessment Good knowledge of item response theory Proficient use of statistical software (particularly R) Publication experience in English, peer-reviewed journals
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Description In the research group Dependable and Autonomous Cyber-physical Systems (DACS) on Institute for Software and Systems Engineering (ISSE) at Clausthal University of Technology has
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(master’s or equivalent) with excellent grades in the field of data science, material science, mechanical engineering, physics, or similar, with a strong machine learning or simulation background In-depth
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from a long-term study. Water Science and Technology , 67 (10), 2350–2355. https://doi.org/10.2166/wst.2013.109 Daelman, M. R. J., van Voorthuizen, E. M., van Dongen, U. G. J. M., Volcke, E. I. P., & van
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of accounting and digital technology. Teaching responsibilities include courses in the university’s bachelor's and master's programs as well as in doctoral study programs. Dedicated engagement for introductory
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learning. Requirements: Master’s degree in a relevant field, e.g., in Computer Science, Data Engineering, Data Science, Mathematics, Bioinformatics, or other related fields Desirable: - Demonstrated ability
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in machine learning, AI and programming skills, e.g. Python basic knowledge of materials science / materials engineering Leibniz-IWT is a certified family-friendly research institute and actively
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at other institutions. The project includes the following secondments: three months at Anhalt University of Applied Science (Dirk Benndorf’s lab) in Köthen, Germany and two months at the de.NBI offices
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science & physics, biomaterials, nanotechnology, electrical engineering, and neurobiology. To learn more about our group’s recent work in this field, please check out some of our recent publications, here
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demonstrations What you bring to the table Enrolled Bachelor/Master student in the field of electrical engineering, telecommunications engineering or related fields Strong understanding of networking fundamentals