88 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" positions at University of Lund
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receive five weeks of training in teaching and learning in higher education and get the opportunity to learn Swedish through the University’s Swedish language courses for new international staff. For your
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machine-learning tools. Data analyzed include precursors such as volatile organic compounds, aerosol number and mass concentrations, chemistry, biological particles, cloud and ice condensation nuclei, light
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biology platform https://www.scilifelab.se/units/structural-proteomics/ The unit provides access to cutting-edge equipment and expertise, for the analysis of protein interactions and conformational dynamics
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strong communication skills and the ability to collaborate effectively with colleagues across all levels, both within and outside the organisation Are a self-starter with a passion for learning new
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, https://avengers-project.eu) and IM4CA (https://im4ca.eu). Work duties The main duties involved in a post-doctoral posistion is to conduct research. Teaching may also be included, but up to no more than
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lecturer, with opportunities for further career advancement. You will receive five weeks of training in teaching and learning in higher education and get the opportunity to learn Swedish through
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duties mainly involve research and teaching. The position includes the opportunity to undertake five weeks of training in teaching and learning in higher education. Work duties include: Research within
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environment? Then join us and take the opportunity to make a real difference! For further information, please visit: https://www.lunduniversity.lu.se/about-lund-university/work-lund-university www.sweden.se
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in at least two of the following areas (or similar): Wireless Communication Systems, Internet Systems and Computer Networks, Robotics, Machine Learning and AI, Automatic Control, or Mathematical
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well as online data collection (experiments, surveys). Expertise in advanced machine learning techniques and large language models (LLMs) —including web scraping, text mining, and neural networks—is considered a