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Organic Chemistry. Previous experience of multistep organic synthesis would be desirable and previous experience of homogeneous catalysis and/or photocatalysis would also be advantageous. Candidates should
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by July 31st, 2025 via the application portal. For more information on the Department of Materials Synthetic Biology, please see: Materials Synthetic Biology - INM If you have any questions or would
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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
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involve a combination of wet lab and computational work, and be situated in both research groups. PhD Student (m/f/div) - Neural Information Flow and Genetics of Behavior The Project: You will explore
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for a research assistant (m/f/d) - pay grade 13 TV-L, 65% for a limited period of three years. Your tasks: You will be working on a multidisciplinary project that aims to develop and test an mHealth
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Description The Institute of Systems Biotechnology (Director: Prof. Dr. Christoph Wittmann) stands for excellent research at the interface of biotechnology, systems biology, and sustainable resource
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natural sciences/horticulture. In addition, we are looking for a candidate with the following: A high level of motivation to collaborate at an interdisciplinary interface Expertise in the field of data
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Description Who We Are: The Cutsail research group at Ludwig-Maximilians-Universität (LMU) Munich is seeking a highly motivated PhD student / research assistant for full-time, on-site work in the
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, computer science, etc.) can also be considered. In addition, we are looking for a candidate with the following: A high level of motivation to collaborate at an interdisciplinary interface and for international
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremen, Bremen | Germany | about 4 hours ago
of other datasets within and beyond deep-ocean science. This interdisciplinary project looks for highly motivated candidates with a background in computer/data sciences and a strong interest in marine