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related discipline. Excellent track record of academic achievements. Demonstrated writing skills. Strong motivation, scientific curiosity, and commitment to scientific excellence. Hands on experience with
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strong programming skills, particularly in Python, are essential. Experience in timber engineering, geometry processing, and robotic fabrication is highly desirable. Excellent written and spoken English
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for travel, guests, workshops Key skill courses The opportunity to gain teaching experience (in English or German) Most of the positions are based at the University of Regensburg. Depending on the projects
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Max Planck Institute for Biological Intelligence (Seewiesen site), Seewiesen | Germany | 3 months ago
motivation letter, a CV including a list of publications, a one-page report on past research experience, and contact information of at least 2 referees to Dr. Susanne Hoffmann ([email protected]
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independent and creative research; Solid programming experience in C++ and/or Python, and familiarity with modern robot learning frameworks; Proven expertise in one or more of the following areas: robot
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of research achievements and publications in top-ranked journals. • Strong motivation, scientific curiosity, and commitment to scientific excellence. • Programming experience Python with good software
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on experience with optics, fiber optics, sensors, miniaturized systems design and development. • Programming skills in C++ and MATLAB; additional relevant programming skills are an advantage. • Strong teamwork
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needs to hold (or expect to hold by the start date) a diploma or master's degree in Psychology, Cognitive Science or related disciplines. Experience in studying information search and active learning is
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with a strong background in qualitative, ethnographic and/or historical methods is also welcome Fluency in German and English Further qualifications: Experience presenting academic findings (e.g
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. Our group combines empirical work (with experiments in the field and in the lab) and modelling techniques. The focus of this postdoctoral position is the generation of empirical datasets for livestock