42 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" positions at AALTO UNIVERSITY
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Deadline 13 Feb 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position
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Finland Application Deadline 18 Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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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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-performance computing resources Experience conducting fieldwork in remote or logistically demanding environments A valid driving license in Finland, and willingness to drive independently during field campaigns
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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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of Excellence Program? The chair of excellence program is designed to host international leading experts and eminent scholars at one of the host organizations at InstituteQ for a three-year term, and a cumulative
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admission criteria for Aalto’s Doctoral Programme in Engineering as specified at Aalto Doctoral Programme in Engineering | Aalto University . What we offer The preferred staring date for this position is in
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? Please check the Aalto Science Institute AScI internship programme for international summer employees: How to Apply for the AScI International Summer Research Programme | Aalto University AScI arranges
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experience in the field of traffic and transport modelling is an advantage. Knowledge of Finnish is not required. Applicants must fulfil the eligibility and admission criteria for Aalto’s Doctoral Programme in
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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