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the start. The position is a fixed-term appointment of four years, with the possibility to teach up to 20%, which extends the position up to five years. A starting salary of 34,550 SEK per month (valid from
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deployments or data collection in real-world environments) Familiarity with current AI technologies (e.g., machine learning, large language models) and an interest in their application to embodied systems. What
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fundamental questions about soil health in agricultural cropping systems and advance your research career in a leading international research environment. The position is part of the EU project MultiSoil (https
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statistics and machine-learning–assisted approaches, in close interaction with data science collaborators Active collaboration across disciplines spanning spectroscopy, soft matter and nanomaterials
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measurements with fluorescence microscopy. It is considered a merit if you have experience in AI-based or machine-learning-based cell and image analysis. It is considered a merit if you have advanced knowledge
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at https://lu.varbi.com/en/what:job/jobID:905699/iframeEmbedded:0/where:4 . Contact: Magnus Goffeng Email: Postal Mail: Lund University Centre for Mathematical Sciences Box 118 22100 Lund Web Page: http
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
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at the University of Gothenburg can be found here: https://www.gu.se/en/work-at-the-university-of-gothenburg/how-to-apply-for-a-position#collective-agreement-and-union-representatives Application Submit your
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data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. The applicant is expected to develop and apply data-driven and machine learning-based methods
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it effect engagement and learning. For more information about the Akelius Math Learning Lab, see: https://www.chalmers.se/institutioner/mv/akelius-math-learning-lab/ Who we are looking