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are considered advantages: prior experience with water and wastewater networks, including their operation, data, or infrastructure-related research familiarity with machine learning and statistical modelling
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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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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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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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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
from all backgrounds to join our community. The Nonlinear Systems and Control group is seeking a talented and ambitious Postdoctoral Researcher to develop machine learning-enabled approaches
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. The department has strong groups in a range of areas including algorithms, data science, machine learning and AI, mobile and distributed systems, secure systems, software engineering, computing education research
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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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and Sobolev-type spaces (with Hytönen and/or Korte), Conformal deformations of metric measure spaces and/or general regularity and convergence for graph-based machine learning using stochastic game
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projects of the MQS group. Our recent research has focused on the theory and applications of variational quantum algorithms and quantum machine learning. We also have activity in quantum optics, so
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opportunities to learn, acquire knowledge, participate, and make a difference. As an equal-opportunity employer, Aalto University bases its recruitment decisions on applicants’ competencies, skills, and aptitudes