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Field
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more than 12 months in the 36 months immediately before the recruitment date. Nationality: Open to all nationalities. Doctoral Programme Enrolment: You must be willing to enrol in a doctoral programme at the
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Center for Digital Education is carried out in collaboration with the Department of Computer Science, the Hector Institute for Empirical Educational Research, the Leibniz Institute for Knowledge Media, and
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management and computation Access to a network of national and international scientific partners in the field of research A collegial and open-minded working atmosphere in a dynamic research institution
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of static program analysis with Soot or related frameworks is an advantage, but not essential What you can expect Independent working hours Insights into the intersection of academic research and industrial
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Developing innovative technology solutions and bringing them to application - that is our goal at the Fraunhofer Institute for Photonic Microsystems IPMS . With our expertise in the development of photonic microsystems, related technologies including nanoelectronics and wireless communication...
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. The JLU aims for a higher proportion of women in accordance with the women's promotion plan. We therefore particularly encourage qualified female candidates to apply. JLU is certified as a family-friendly
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available in the further tabs (e.g. “Application requirements”). Programme Description The programme offers women the opportunity to qualify for professorship by teaching at a public Baden Württemberg
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visualization in Python Numerical modeling and programing for model optimization & machine-learning What you contribute Studying Computational Engineering, Mechanical Engineering, Simulation Sciences, or a
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Kunsthistorisches Institut in Florenz - Max Planck Institute, Florence, Italy | Germany | 2 months ago
; contribute to the project’s output (publications, databases, digital and other media); plan and organize internal and external meetings, seminars, workshops, visits, trips, annual summer courses, exhibitions
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Water-Energy-Food-Ecosystem nexus. You are familiar with the basics of statistics or are willing to learn them. You independently and proactively plan upcoming work steps, set priorities and ensure