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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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Finance Network (NFN). We offer degree education at bachelor's, master's and doctoral levels. For more information, see https://www.aalto.fi/en/department-of-finance . The Department of Finance at Aalto
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information on the available positions, please contact Prof. Tuomas Hytönen and/or Prof. Riikka Korte (riikka.korte@aalto.fi ) . In application process related questions, please contact HR Partner Johanna
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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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, approximate length 2-4 pages; short-listed candidates will be asked to prepare full-length portfolios at a later stage according to Aalto University’s instructions: https://www.aalto.fi/sites/default/files/2024
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of open source software, open science, and software development tools such as version control. Please see https://scicomp.aalto.fi/rse/become-a-rse/ for more information on what kind of skills we value
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students. The group is led by Professor Ilkka Tittonen. Your experience and ambitions Applicants are expected to hold a Master’s degree and excellent study records in theoretical physics, mathematics
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degradation. The candidate is expected to have a strong background in biotechnology, enabling them to design new valorization strategies and process scale-up. The position will be filled for a fixed-term period