81 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at University of Lund in Sweden
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targets. More information about the group's research is available at https://pietraslab.com/ and https://bsky.app/profile/pietraslab.bsky.social . As a workplace, we prioritize a positive working
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research, including e.g. plant-based meat analogues, carbon capture and formulation and purification of biopharmaceuticals. The Membrane group (https://www.membranegroup.lu.se/) at PLE is the most
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which means that employees get particular benefits, generous annual leave and an advantageous occupational pension scheme. More about working at Lund University on lu.se. https://www.lunduniversity.lu.se
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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 https://www.maxiv.lu.se/about
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international, and the successful candidate will work closely with researchers and students in the group, including postdoctoral researchers, PhD students, and technical staff. Research group website: https
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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
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on lth.se. https://www.lth.se/english/study-at-lth/phd-studies/ Subject and project description The doctoral student will work on the project ‘Heating, transport, and participation in life: Towards
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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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development, testing and application of the LPJ-GUESS biosphere model for modelling tropical wetlands and estimating tropical methane emissions. The work is part of the EU-funded project IM4CA (https://im4ca.eu
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the genomic landscape of breast cancer using large scale tumor sequencing data. You can read more about the project on our website https://portal.research.lu.se/sv/persons/staaf-johan/. The research team is