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on a world-wide unique ultra-low-temperature infrastructure at Aalto University School of Science. In this position you will have a chance to make fundamental discoveries in the physics of the new state
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-mediated nitrogen reduction reaction (LiNRR) systems for green ammonia synthesis at Aalto University’s Department of Applied Physics. In this position, you will have a chance to make an impact by
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Finnish Ministry of Education and Culture has announced additional support for national doctoral education pilot in quantum technology (QDOC) aimed at postdoc recruitments. The focus is on supporting
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. Call for Proposals: Two Postdoctoral Positions in Quantum Technology The Finnish Ministry of Education and Culture has announced additional support for national doctoral education pilot in quantum technology
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Nanoengineering department. In this position you will have a chance to make a real impact by high-quality research and by supervising doctoral students. Join us in shaping the future! Your role and goals Your
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applied research in quantum computing at Aalto University’s Electronics and Nanoengineering department. In this position you will have a chance to make a real impact by high-quality research and by
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the Finnish Center of Excellence in Quantum Materials . Your role and goals The research will focus on developing and using machine learning algorithms to discover novel materials and to build generative models
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will join the MQO-QNOF team at Aalto University and build a state-of-the-art cryogenic optical experiment combining advanced interferometry, quantum optics techniques, and unique semiconductor cavity
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
to develop machine learning-enabled approaches for predictive modelling and state estimation for fundamental applications within physical sciences. Your role The main research responsibilities involve building
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
for predictive modelling and state estimation for fundamental applications within physical sciences. Your role The main research responsibilities involve building cutting edge machine learning techniques