35 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at AALTO UNIVERSITY in United Kingdom
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rather than preparation for an academic career path. You will be involved in research, but more focused on learning and improving how computing, workflows, and data are used in research than finding your
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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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computing connected via a national quantum consortium called InstituteQ with many quantum-related activities. We also have access to real quantum hardware, including VTT’s Q50 and Helmi machines and Aalto’s
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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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of materials development. They will teach across the Department’s undergraduate and graduate programmes and majors. Your role and goals You will support students in establishing their independent and critical
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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