19 engineering-computation "https:" "https:" "https:" "https:" "https:" "Dana Farber Cancer Institute" research jobs at AALTO UNIVERSITY
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digital health Computing systems and networks Cybersecurity Human-computer interaction Machine learning and artificial intelligence Software engineering Position details Positions are intended
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of the elderly to space robotics. We are now looking for a Doctoral Researcher in quantum computing and algorithms. Are you as excited about quantum technology and its future applications as we are? We are now
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environment and be willing to engage with both methodological and applied research questions. Applicants should hold a master’s degree in transportation engineering, civil engineering, computer science, data
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Applicants must fulfill the eligibility and admission criteria for Aalto’s Doctoral Programme in Engineering as specified Aalto Doctoral Programme in Engineering | Aalto University . Do note that the
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Applicants must fulfill the eligibility and admission criteria for Aalto’s Doctoral Programme in Engineering as specified at Aalto Doctoral Programme in Engineering | Aalto University . What we offer
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Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
23 Jan 2026 Job Information Organisation/Company AALTO UNIVERSITY Research Field Computer science Engineering Mathematics Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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of Bioproducts and Biosystems of Aalto University School of Chemical Engineering (Otaniemi Campus, Espoo, Finland), in the Bioprocess Engineering research group (https://www.aalto.fi/en/department-of-bioproducts
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Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers
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, providing direct feedback on theory analysis and further predictions. The goal is to develop a theoretical and computational approach that has strong predictive power for finding completely new types