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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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-effectively predicting the rate of massively multicomponent organic, or organic-enhanced, new-particle formation in the atmosphere. We will combine our molecular-level model development with machine learning
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provides an excellent research and teaching environment and opportunities for international collaboration (https://www.helsinki.fi/en/about-us/careers/why-university-helsinki ). The salary for the position
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in Master's Programme in Technologies for Sustainable Use of Renewable Resources (SustTech) https://www.helsinki.fi/en/degree-programmes/technologies-sustainable-use-renewable-resources-masters
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cells in various diseases such as atherosclerosis, hypoxic-ischemic encephalopathy, and multiple sclerosis (https://mildnerlab.utu.fi/ ). About the Position We are looking for a person able to analyze
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documentation What we offer A friendly, international research environment with high-quality infrastructure Training opportunities and professional development Comprehensive employee benefits (occupational health
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. The project already includes existing datasets and established pipelines, and the successful candidates will contribute both by analyzing and extending these resources and by developing new data and approaches
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directly linked to the development of the EU-level pilot line SiPFAB, which has received 40 M€ of funding to advance high-power semiconductor device packaging technologies. The selected candidate will
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the final stages of your master’s studies or have already completed a master’s degree. The position may also provide opportunities to develop an M.Sc thesis topic during the internship. Relevant fields
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. in R) Interest in developing skills in advanced analytical and modelling approaches Good communication skills in spoken and written English Willingness to work in a field-based research environment in