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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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acid formed from emitted NOX, sulphuric acid as well as catalyst-created ammonia. The applicant should: Hold a doctoral or master degree in relevant field such as physics or chemistry; Have good
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ammonia. The applicant should: Hold a doctoral or master degree in relevant field such as physics or chemistry; Have good programming skills and interest in code development; Have excellent skills in
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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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a broad-based international and interdisciplinary team of leading experts in leukemia biology, immunology, gene regulation, and computational biology, as well as clinicians. Your main responsibilities
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with untranslated primary sources. The ability to work adequately in English is essential. A strong academic record is advantageous. The duties, qualification requirements, and language skills of a
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in vivo genetic mouse models, advanced live and intravital imaging, engineered microchip models, primary cell co-culture systems and novel microscopy and analysis methods. The research will provide
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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
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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