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Offer Description Department of Clinical Sciences Swedish University of Agricultural Sciences (SLU) is seeking a postdoctoral researcher with strong methodological expertise in AI and computer vision for
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microscopy and spectroscopy to investigate their unique electronic, structural, and plasmonic properties. Project 2: Exploring the synthesis of metallene layers sandwiched between SiC and graphene
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information about the Akelius Math Learning Lab, see: https://www.chalmers.se/institutioner/mv/akelius-math-learning-lab/ Who we are looking for The following requirements are mandatory: Doctoral degree in
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Management Lab (KDMLAB) of the Department of Computer and Information Science at Linköping University. The department is one of the largest computer science departments in northern Europe, with research
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at: https://www.umu.se/en/department-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data driven models
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into operational decision‑support tools for farmers, in close collaboration with an industry partner. The project focuses on automated rumen‑fill assessment using 3D imaging, computer vision, and predictive
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applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Contact details to references will be requested after
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, we offer a dynamic, collaborative ecosystem. The AI and Machine Learning in the Natural Sciences (AIMLeNS) lab is a tight-knit team of computer scientists, chemists, physicists, and mathematicians
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electron microscopy. Documented experience in photophysical characterization, including UV–Vis absorption spectroscopy, steady-state and time-resolved photoluminescence spectroscopy, PL quantum yield
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and written) are a requirement. For more information, see: https://streuff.weebly.com and https://www.carltryggersstiftelse.se Application The application should state the above reference (CTS25) and