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learning problem: multi-label classification across mechanistically heterogeneous biological classes, where the label space itself must be carefully constructed. The Doctoral student's work will centre
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heterogeneous biological classes, where the label space itself must be carefully constructed. The Doctoral student's work will centre on ontology-informed dataset integration, multi-label model development
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to advance the theory and practice of multi-task learning. The problem will be framed in the context of kernel-based methods for identification, aiming for a principled representation of task
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19 Mar 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Chemistry » Computational chemistry Computer science » Other Physics » Acoustics Physics » Applied
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the world. Chalmers has launched a MSc program in High-Performance Computer Systems and in Data Science, putting the topic of this PhD project in the center of gravity of educational efforts. Major
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this project will be connected to the Wallenberg Centre for Quantum Technology (WACQT), a 12-year, 1.5-billion-SEK initiative started in 2018 with the purpose of advancing Swedish academia and industry
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Join our vibrant research community at Chalmers University of Technology, where innovation in photonics and optical communications drives new scientific and technological advances. About us The