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PhD students, and more than 300 employees, the Department of Microtechnology and Nanoscience also includes one of the largest cleanrooms in European academia. The Microwave Electronics Laboratory
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experimental platform and combine it with continuum modeling of complex materials and machine-learning-based analysis methods to understand and predict biofilm structure and growth. Supervision: Shervin Bagheri
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. Areas of study include perception, memory, learning, cognitive development, attention, motor control and spatial navigation. The research falls within the field of cognitive science, with a focus on
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researchers develop new machine learning (ML) methods to tackle challenging molecular engineering problems in life sciences and materials design. Situated in the Data Science and AI division , our group
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is also on-going in the subjects of Process Metallurgy, Cyber-Physical Systems, Experimental Mechanics, Machine Learning, and Operations & Maintenance, to enable RECAT’s ambitious goals. Subject
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with catalysis/photochemistry Programming skills using Python and MATLAB Analysis of complex scientific data through machine learning What you will do Plan experiments together with your supervisor and
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data types (transcriptomics, proteomics, imaging). AI/ML Applications: Applying machine learning or AI to predict gene function or discover functional relationships from perturbation data. FAIR
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Technology We invite applications for a fully funded WASP-PhD position to join the new research group of Martin Trapp to work on the reliability and trustworthiness of machine learning models. You will work
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that include machine learning components, and on cooperation with industrial partners and with the TECoSA competence center at KTH. The Division of Network and Systems Engineering conducts fundamental research
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-Physical Systems, you will teach at undergraduate and postgraduate level, including courses in computer architecture, embedded software, real-time systems, and AI-based perception for cyber-physical