34 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at AALTO UNIVERSITY in United Kingdom
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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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practitioners in technology firms. For more information, see http://tuta.aalto.fi/en/ Aalto University invites applicants for a Professorship of Practice position in the field of Data Economy. The position is
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track system is expected to perform world‐class research, to teach, advise and otherwise advance both graduate and undergraduate education, to be an active member of the international scientific community
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– Towards a better world and Shaping a Sustainable Future . Read more about working at Aalto:https://www.aalto.fi/en/careers-at-aalto Check out our new virtual campus experience: https://virtualtour.aalto.fi
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emphasis on developing the payload for the ESTCube-LuNa mission. Building on previous demonstrations such as ESTCube-1, ESTCube-2, and Foresail-1p, the project aims to apply lessons learned to create a more
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design. Relevant research focus areas include, but are not limited to, hardware accelerators for machine learning (ML), Artificial Intelligence (AI), neuromorphic computing, and digital signal processing
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to work on the discovery of new superconducting materials with high critical temperatures, using novel methods and concepts such as machine learning and quantum geometry. The project is related to large
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optical imaging systems). Machine vision (including hyperspectral imaging and image analyses). In addition, we value: Strong communication skills. Excellent analytical and experimental skills. Ability
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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
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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