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We expect you to have a PhD (or equivalent) degree in mathematics, a strong research background in analysis with emphasis on areas supporting one or several of the research topics above, and motivation
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candidates. Our department has a particularly welcoming culture, nurturing innovativeness and communication among our international and diverse faculty. The Mathematical Physics Research Group in
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facilities, and opportunities for professional development (https://www.helsinki.fi/en/about-us/careers ). YOUR PROFILE PhD in biology, mathematics, or a related field Strong background in mathematical
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” - link here: https://jobs.helsinki.fi/job/Helsinki-Post-doctoral-researcher-and-PhD-student-positions-in-metabolism%2C-aging-and-stem-cell-biology/1350842757/?feedId=350602&utm_source
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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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research group is associated with the newly established Center of Excellence in Neutron-Star Physics (https://neutronstars.fi ), providing us long-term funding, strong connections to related Finnish and
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in Neutron-Star Physics (https://neutronstars.fi ), funded by the Research Council of Finland. The CoE status provides us long-term funding, strong connections to related Finnish and international
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2026. The research will be carried out within the newly established Centre of Excellence (CoE) in Neutron-Star Physics (https://neutronstars.fi/ ), funded by the Research Council of Finland. The CoE
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Centre of Excellence in Neutron-Star Physics (https://neutronstars.fi ), funded by the Research Council of Finland. The CoE status provides us long-term funding, strong connections to related Finnish and
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, nuclear structure, neutrino physics, and fundamental interactions. The nuclear astrophysics part of the research is related to the newly established Centre of Excellence in Neutron-Star Physics (https