39 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" "U.S" positions at AALTO UNIVERSITY in United Kingdom
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of open source software, open science, and software development tools such as version control. Please see https://scicomp.aalto.fi/rse/become-a-rse/ for more information on what kind of skills we value
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according to the World Happiness Report . More information about living in Finland: https://www.aalto.fi/en/services/why-finland https://www.infofinland.fi/en/frontpage More about Aalto University: Aalto.fi
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for established, changing and emerging fields of design. ( https://www.aalto.fi/en/department-of-design ). We are looking for a: Doctoral Researcher for a Finnish Academy funded project Experimenting with
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and design experts. We educate front-line design professionals and visionaries for established, changing and emerging fields of design. (https://www.aalto.fi/en/department-of-design ). We are now
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, please see the student information and admission criteria at https://www.aalto.fi/en/study-options/aalto-doctoral-programme-in-electrical-engineering . How to apply? Please submit your application through
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open positions For more information about the role, please contact QDOC Director Prof. Adam Foster adam.foster@aalto.fi and Finnish Quantum Flagship Manager Dr. Mahdi Moghaddam mahdi.moghaddam@aalto.fi
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; microprocessor technologies; hardware systems for signal processing; novel computer architecture implementations; Compute-in-Memory circuits, and digital system-on-chips (SoC) implementations. Demonstrated
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, and Advanced energy solutions. Topics extend from fundamental research to important applications. We educate future generations of research and development professionals, data specialists, technology
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industrially relevant research and development. For the selected candidates, office space during visits, as well as the standard office facilities (e.g., computer facilities, university e-mail, access
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transport simulation Travel behaviour and choice modelling Network optimization and algorithmic methods Machine learning and data-driven approaches for mobility analysis, prediction, or decision support