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orientation and strong communication skills in English. The working language at PIK is English. We offer: an inspiring, international and interdisciplinary work environment in one of the world’s leading
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Max Planck Institute for Brain Research, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | about 2 hours ago
neuroscience Strong analytical and critical thinking skills A willingness to learn new techniques, including advanced experimental methods and computer programming Excellent verbal and written communication
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Max Planck Institute for Brain Research, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | about 2 hours ago
skills for data acquisition and analysis (e.g., Python, MATLAB, LabView) Excellent verbal and written communication skills in English Desirable skills Experience with experimental techniques, such as
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communication skills in English, both written and spoken Ability to work independently and as part of a collaborative team Our Offer: We work on the very latest issues that impact our society and are offering you
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for scientific success. Relevant research networks at TUM, in the greater Munich area and beyond (including the TRR338/CRC LETSImmun, the German Center for Infection Research (DZIF), the German Consortium
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Associate Professor of Experimental Physics Focusing on AI-Based Research of Biomolecular Structures
professorship for the use of artificial intelligence in the research of biomolecular structures. The appointed person should have extensive international experience in the fields of: neural networks, machine
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represent stakeholder preferences. The integrated Research Training Group (RTG) will provide doctoral researchers with an attractive qualification program, foster networking, enable internationalization and
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represent stakeholder preferences. The integrated Research Training Group (RTG) will provide doctoral researchers with an attractive qualification program, foster networking, enable internationalization and
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the design of new district heating systems as well as the transformation of existing networks. We are looking for students (internship, master’s thesis or student assistant) with an energy systems modelling