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should have experience of working with computational and analytical techniques in the areas of natural language processing (including, among others, topic modelling), computational linguistics, and machine
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is looking for a post doc with a background in seafood science and/or seafood development or processing for a large project in collaboration with Food and Agriculture Organisation (FAO), which is an
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(femtoseconds to nanoseconds) to obtain novel insights into the fundamental physics and chemistry of processes in materials. You will work with ultrafast X-ray experiments using synchrotrons and XFELs, with a
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engineering efficient bioprocesses for high quality natural products. The group offers expertise in reactor engineering, down-stream processing and metabolic engineering to teach and develop innovative bio
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postdoctoral researcher, you will use various techniques to investigate fiber-reinforced structures in nature (i.e., fungi), including additive manufacturing, computer simulations, materials testing, and
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scientific journals and conferences Your Profile: A doctoral degree in Physics, Materials Science, Computer Science, Data Science, or related fields Proven experience with large language models (LLMs), natural language
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multidisciplinary team from several project partners (incl. IPK Gatersleben and Justus-Liebig-Universität Gießen) to analyze how controlled abiotic stress regimes (drought and flooding under different seasonal
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genomic data for reconstructing evolutionary patterns and processes that have shaped biological history across deep timescales. The ideal candidate will have a background in phylogenomics and bioinformatics
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Senckenberg Museum of Natural History is located in a historic town with a region that is particularly close to nature and well worth living in. This position aims to describe differences in structure and
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing