47 evolution "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" Postdoctoral positions in Finland
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the development and delivery of a course or training module aimed at QDOC students nationally. The duration for each position is one year, with the possibility of extension for an additional year. While
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opportunities to contribute to the development of new research projects and external funding applications. Terms of employment The salary of the postdoctoral researcher will be based on level 5 of the requirement
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considered assets for this position. The duties include conducting quality research, supporting the interdisciplinary development of wellbeing research and activities, supervising theses, and participating in
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environment affiliated with the European Laboratory for Learning and Intelligent Systems (ELLIS) Institute Finland. The selected candidate will contribute to the development and implementation of precision
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within the research project “From Clay to Code: Investigating Microbial Evolution in Response to Human Influence” funded by the Helsinki Institute of Life Sciences (HiLIFE). The project aims to establish a
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tasks also in the future. Our vast array of professional development opportunities at Aalto University means you will grow and learn, having the chance to participate actively in staff trainings and
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Environmental Sciences comprises roughly 40 research groups which employ 40 principal investigators and 120 researchers. The research programme is situated in the Viikki science park. https://www.helsinki.fi/en
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. The initial salary is €4064, and the contract includes occupational health care. Our vast array of professional development opportunities means you will grow and learn, having the chance to participate actively
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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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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
predictive models for complex multi-physics dynamical systems as well as towards designing observer-based state estimators from output timeseries data measurements. The research also involves development