35 computational-physics "https:" "https:" "https:" "https:" "Caltech" positions at AALTO UNIVERSITY in United Kingdom
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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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Aatos Erkko Säätiö, and The FINNCERES flagship (https://www.finnceres.fi/ ), funded by the Research Council of Finland’s Center of Excellence Programme (2022-2029). What we offer The expected starting
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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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Applicants must fulfill the eligibility and admission criteria for Aalto’s Doctoral Programme in Engineering as specified Aalto Doctoral Programme in Engineering | Aalto University . Do note that the
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while focusing on interesting computational problems and not the publication process. Mentorship to improve your software, data, and computing skills – you are expected to engage in plenty of professional
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about living in Finland: https://www.aalto.fi/en/careers-at-aalto/for-international-staff . Read more about working at Aalto: https://www.aalto.fi/en/careers-at-aalto About Finland Finland is a great
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accepted for the Doctoral programme during your 6 months probationary period to continue working within the project. Please note that Doctoral Program call is a different application process with different
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field, e.g., (applied) mathematics, computer science or management science. Potential to carry out outstanding research, attract research funding, and provide researcher training in operations research