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endosomal escape events. The tasks include developing, training, and validating deep learning–based models for event detection and vesicle tracking, and integrating these models into automated analysis and
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each year. You can find more information about us on the Department of Information Technology website . The project is led by Professor Joakim Lindblad, at the Centre for Image Analysis and the Vi3
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. The research environment is highly collaborative and interdisciplinary, with close links to national and international networks and consortia. The Data-Driven Life Science Research School Data-driven life
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, with a particular focus on identifying and characterizing rare endosomal escape events. The tasks include developing, training, and validating deep learning–based models for event detection and vesicle
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will build on research that detects different types of uncertainty in deep neural networks, and we will connect this uncertainty to interactive data collection, e.g. in the form of a dialogue with the
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education in digitalization and electrification including renewable energy sources, electric vehicles, industrial IoT, AI, 6G communication and wireless sensor networks as well as research and education
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students take one or more courses at the department each year. You can find more information about us on the Department of Information Technology website . At the Division of Systems and Control, we develop
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students. Approximately 5,000 undergraduate students take one or more courses at the department each year. You can find more information about us on the Department of Information Technology website
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candidate will participate in the EU-funded HORIZON-MSCA-DN-2024-01 project LipAgg. The LipAgg network brings together partners from five European countries and comprises nine academic institutions and twelve
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students. Approximately 5,000 undergraduate students take one or more courses at the department each year. You can find more information about us on the Department of Information Technology website