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, Legal Studies). Resources and budget to conduct large-scale simulations or behavioral experiments. Engineering support by research engineers (Web experiments/ML/computational infrastructure) and
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materials science, chemistry, physics, chemical engineering, bioengineering, nanoscience, or a related discipline • Strong experimental background in soft matter, colloid science, biointerfaces, or advanced
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Profile: • PhD in chemistry, materials science, chemical engineering, mechanical engineering or a related discipline • Strong experimental and/or computational background in laboratory automation, robotics
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follow-up studies in higher education and school contexts. The successful candidate will work closely with Dr. Babette Bühler, future Tenure-Track Professor of AI in Education, Prof. Dr. Ulrich Trautwein