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on how your research can be further developed into innovations. You are interested in driving the integration of methods in artificial intelligence (AI) and machine learning (ML) to improve and optimize
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of AI cause structural change and how it may influence the optimal design of social support systems. The programme currently includes 12 senior researchers and will also include three PhD students and
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electrical measurements For questions, please contact: Researcher Robert Rehammar QT lab, robert.rehammar@chalmers.se Optimization of CZ gates in a 25 Qubit device The Quantum Computing group is developing
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public procurement. This research addresses a broad set of topics including optimal taxation and public expenditure, income formation, household responses to taxation and other economic policies, social
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driving the integration of methods in artificial intelligence (AI) and machine learning (ML) to improve and optimize workflows when developing therapeutic antibodies Duties – what we expect from you As an
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computational biology with a focus on developing new and scalable computational models (e.g. deep learning, machine learning, optimization or statistics) or integrating data-driven applications to address
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to development projects. Establishing a research program in translational computational biology with a focus on developing new and scalable computational models (e.g. deep learning, machine learning, optimization
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to optimize antenna performance. For more information, https://ant.eecs.kth.se/SEE-6GIA/ (SEE-6GIA) Contact person: Mats Gustafsson Research direction 2 This project develops a distributed radar system
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and development centre – an excellent infrastructure to develop and optimize membrane processes from lab to pilot scale. The project is part of COMPEL. COMPEL, "COMPetence for the ELectrification
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., information inference); Intersection between regulatory and technical aspects (EU NIS-2 Directive), e.g., compliance optimization and automatization. The PhD students will belong to the graduate school within