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systems for measurement processes, or innovative hardware and software for quantum computers and quantum sensors: we develop tomorrow's technology in-house for a sustainable and secure society. When will
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Area of research: Scientific / postdoctoral posts Job description: Postdoc for "Large-Eddy Simulations of Arctic air-mass transformations" (m/f/d) Background The Arctic climate is shaped by
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The Institute of Art History at Freie Universität Berlin invites applications for a post-doctoral position within the research project “Art Academies in China: Global Histories and Institutional Practices” (CHINACADEMY), funded through a Consolidator Grant from the European Research Council...
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interactions to uncover new molecular strategies for safeguarding crops. Join a vibrant, interdisciplinary research environment where computational chemistry, biochemistry, molecular biology, and plant science
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the areas of ‘Process Sensors and Systems Engineering’, ‘Material Analytics’ and ‘Computational Methods’. With our expertise in data science, modelling and systems engineering, we develop tailor-made
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interdisciplinary team combines expertise in computer science, electrical engineering, psychology, and neuroscience to create innovative solutions for understanding human-computer interaction. Become a part of our
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, economics, business informatics, data science, or a related field, • with a strong passion for entrepreneurship and/or family enterprise research, • with a solid knowledge of empirical research methods
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Postdocs complete a research visit Duration of funding Students of engineering complete a one-year, non-extendable study visit consisting of one semester of studies at a university plus a 4 to 6-month
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Area of research: Scientific / postdoctoral posts Job description: PostDoc in "Mechanistic understanding of the biological carbon pump" (f/d/m) Background The biological carbon pump plays a crucial
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corpora data correlation. Requirements: A master’s degree in Computational Linguistics, Computer Science or related fields. Solid background in Machine Learning and Natural Language Processing Experience