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in their computation. We want to understand the fundamental principles that permit us to build privacy-aware AI systems, and develop algorithms for this purpose. The group collaborates with several
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includes signal processing with emphasis on development and optimization of algorithms for processing single and multi-dimensional signals that are closely related to applications and applied research
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to the advancement of precision medicine in oncology. A typical workday may involve writing and running code to pre-process sequencing data on a compute server, applying statistical models and algorithms to construct
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, coordination, and decision-making algorithms for multiple autonomous agents—such as robots (robotic manipulators, drones, or vehicles)—that work together to achieve common goals in dynamic, uncertain
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Do you want to contribute to top quality medical research? Come join the Engblom lab! We are seeking a skilled bioinformatician or computational biologist for projects in the intersection
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application! Work assignments Subject area: Computational studies of the influence of microstructural features on the structural integrity of metallic materials using machine learning Subject area description
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environment project, we will develop automated species and community recognition, particularly focusing on pathogenic soil fungi, with help of deep-learning algorithms fed with microscopic image and Raman
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passive and active flow control algorithms, potentially incorporating machine learning/AI, to enhance aerodynamic performance and stall delay with rapid response times. The research is conducted in
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schools History News 2025 School Introduction Registration Program Recordings Questions Committees Sponsors Contact Repository Lectures by topic Lectures by author Search lectures 2024 2023 2022 2021 2020
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aims to address scientific and sectoral gaps in biological imaging from molecular, cellular, and tissue levels to organ and organism levels of organisation. The programme is coordinated by LINXS, Lund