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on lth.se . Subject and project description Wireless systems are becoming an increasingly important part of our everyday life. Using Machine Learning on measured wireless propagation channels as a means to
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Council to establish a center of excellence: Center for modeling adaptive mechanisms in living systems under stress. We are now opening a tenure-track Assistant Professor position in machine learning with
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most is how close you stay to nature here. Read more and apply: https://www.umu.se/en/work-with-us/open-positions/assistant-professor-in-computing-science-with-a-focus-on-machine-learning---linked
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and Semantic Systems (RSS). The RSS division focuses on research and teaching in AI, Machine Learning, Robotics and Robotic Learning, Human-Robot Interaction, and Natural Language Processing. Together
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opportunities and diversity are fundamental principles in all parts of the University’s activities. Find more reasons why Lund University and the Faculty of Science are right for you here and here , and learn
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of the Medical Programme (semesters 1-5) using various forms of active learning. As a guideline, teaching, educational management and educational development work is expected to account for
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learning-based pipelines to process and postprocess this data. The Project Assistant will be encouraged and given the opportunity to lead their own project analyzing proteomics data in the context of aging
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software, e.g., Blender, DragonFly. Knowledgeable in programming, e.g., Python. Experience in developing user-friendly Graphical User Interfaces (GUI:s) High motivation, ability to quickly learn new
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. The research focuses on the areas of human-computer interaction and visualization. It involves designing controlled user experiments and applying AI techniques such as reinforcement learning and foundation
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regions in three European countries (Sweden, Denmark, Germany), using a novel machine learning approach combining NLP and LLMs to analyse newspaper data. Findings will inform place-based, just governance