25 computational-physics "https:" "https:" "https:" "https:" "Simons Foundation" research jobs at AALTO UNIVERSITY
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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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of excellence (https://ellis.eu/members ). Significant high-performance computing resources (e.g. LUMI supercomputer, https://lumi-supercomputer.eu ) are at the disposal of our researchers. What we offer
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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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) Application Deadline 13 Mar 2026 - 00:00 (UTC) Country Finland Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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welcome candidates with a Master’s degree in (computational) chemistry, physics, or materials science who are curious about applied machine learning in the natural sciences. Prior machine learning or Python
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Type of Contract Permanent Job Status Part-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. The Department of Computer Science is an
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Finland Application Deadline 18 Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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relevant field A strong understanding of the physical principles of remote sensing, and demonstrated experience in developing novel satellite-based remote sensing methods A publication record in peer