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backgrounds to join our community. At the Department of Applied Physics, our pioneering research in physical sciences creates important industrial applications that hold great technological potential. Our
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Doctoral degree in quantum technology, physics, or a closely related field. Strong research experience in relevant areas. A publication record demonstrating international scientific impact. Clear potential
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of materials. We are searching for a Postdoctoral Researcher with excellent numerical skills and a deep understanding of condensed-matter physics concepts. Experience in machine learning, DFT, symmetry aware
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through e-mail. Amongst the applicants in the first phase, Aalto University will select a shortlist of candidates to continue in the process. Shortlisted applications are submitted for review by external
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projects within our group funded by EU Chips JU, Business Finland (BF) co-innovation, and Technology Programme Helsinki Institute of Physics such as Moore4Power, WIBASE, and AQUES respectively. The role
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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
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Finnish and international companies and students can find their place in areas such as silicon wafers, sensors or process and equipment development. The positions are suitable for both Bachelor and Master
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throughout the review process. Please ensure that the same email address appears in all your application documents (e.g., CV). If you are a student or visitor at Aalto University, please apply with your
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experience in a wide variety of fields and developing an extensive network of scientific contacts. This includes contacts to the Aalto startup scene and community. A way to be close to the research process