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system for the benefit of science and society, Senckenberg promotes curiosity-driven and application-oriented collection-based research. Senckenberg hosts the unique Human Ethology Film Archive (HEFA
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Requirements: excellent university degree (master or comparable) in computer engineering or electrical engineering a strong background in digital design, hardware description languages (e.g. Verilog, VHDL
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medicine in accordance with the German Veterinarian Licensing Regulations (Verordnung zur Approbation von Tierärztinnen und Tierärzten), and cover teaching in the equine science bachelor’s degree program
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Profile: University degree (M.Sc., diploma or equivalent) in materials science, engineering sciences, or physics Experience in at least one of the methods of X-ray imaging, transmission electron microscopy
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Completed university studies (Master/Diploma) in the field of mechanical engineering, physics of related disciplines Enjoy experimental work in international and multidisciplinary teams Communicative
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projects: from successfully acquiring third-party funding to planning and managing interdisciplinary research projects with an impact on science, politics, and society Identify relevant research topics
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available in the further tabs (e.g. “Application requirements”). Programme Description Every year the Studienwerk funds scholarships and a wide range of educational programmes for about 300 German and foreign
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Carl von Ossietzky University of Oldenburg • | Oldenburg Oldenburg, Niedersachsen | Germany | 2 days ago
strategies for their present and future careers in science and enterprises. The core of the programme is an independent doctoral research project in one of the participating research groups. In
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. For TUD diversity is an essential
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fields Interest in immunology, systems biology and translational research Strong interest in mass spectrometry-based proteomics (prior experience advantageous) Proficiency in computational data analysis