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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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a circular process based on users and stakeholders engagement, co-design and assessment of innovative climate services. The proposed methodology will employ high resolution regional Earth Systems
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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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training while also performing services for the University of Minnesota, for which they are compensated. This position will involve analysis of variation in soybean and pea genomes, including natural
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- School of English - Faculty of Dentistry - Department of Civil Engineering - School of Computing and Data Science - Department of Electrical and Electronic Engineering - Department of Mechanical
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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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curious to deliver work that matters, your journey starts here! The Language Technologies Institute (LTI) at CMU is a world-renowned research and education hub at the forefront of natural language
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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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, the representation and processing of social information in patients with psychiatric conditions remain largely unclear. We use a suite of cutting-edge techniques, including in vivo multi-photon imaging, fiber