51 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Chalmers University of Technology
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the application of machine learning to optics, touching upon aspects of computational electromagnetism and inverse design. Information about the project and division Structured optical materials, such as
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measurements from real projects, statistically analyse them, and conduct experiments with modern machine learning techniques and generative AI. A strong background in software engineering as well as some
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to applied projects linked to societal needs. Key areas include computational mathematics, optimisation, biomathematics, statistics, and data science, supported by an active PhD programme. Our
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of the Wallenberg Centre for Quantum Technology (WACQT, http://wacqt.se ). The core project of the centre is to build a quantum computer based on superconducting circuits. You will be part of the Quantum Computing
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interest in research team-work Industrial Experience from relevant industries Experience in computer based engineering and/or model based systems engineering tools What you will do Participate as researcher
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Experience from relevant industries Experience in computer based engineering and/or model based systems engineering tools What you will do Participate as researcher in systems engineering design projects Plan
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groups working towards a common goal. For this postdoc project, we seek a dynamic and motivated candidate with an interest in computational electromagnetism, inverse design, and/or machine learning in
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shares knowledge and their vision of technical solutions for the future industry in a sustainable society. Through excellent research, innovation, and education, we contribute to the development of future
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satellite, airborne and ground-based measurements with modelling and machine learning, we collaborate globally to monitor environmental change and support a sustainable future. About the research project
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Experience in machine learning Knowledge of SDN and NFV Knowledge of basic TCP/IP protocols What you will do Conduct high-impact research and publish in leading journals and conferences Shape research