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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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13 Nov 2025 Job Information Organisation/Company AALTO UNIVERSITY Research Field Physics Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Country Finland Application
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backgrounds to join our community. The Department of Applied Physics (www.aalto.fi/en/department-of-applied-physics ) at Aalto University School of Science invites applications for Two Assistant professor
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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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, Applied Physics or related field) and have a solid background in at least one of the following areas: Electronics (including hardware design, sensor integration). Optics (light–matter interaction, design of
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candidate will already have: a doctoral degree in a relevant discipline (e.g., engineering, physics, geoinformatics); strong expertise in quantitative methods in both photogrammetry and laser scanning; a
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, physics, geoinformatics); strong expertise in quantitative methods in both photogrammetry and laser scanning; a research profile in novel photogrammetry and/or laser-scanning methods, covering close-range