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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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communication Demonstrated track record in scientific writing and publishing We also appreciate the following know-how and experience in: Experience from machine and deep learning data analysis Experience from
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-edge sensors with current computational tools and machine/deep learning. As a Postdoctoral Researcher, you will be a key member of our team responsible for designing the seamless integration
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Structures (FiRST). The starting date is March 1, 2026, or as mutually agreed. The positions are for a period of two years, with a possible one-year extension. Your experience We expect you to have a PhD
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, reporting and creating high-quality scientific publications, participating in the preparation of research proposals in your field. Other responsibilities include the co-supervision of PhD students
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reporting activities. Contribute to academic life by supervising PhD, MSc and Bachelor students, and assisting in teaching activities. Engage in training opportunities including proposal writing, high-impact
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Postdoctoral Researcher are stipulated by the University of Jyväskylä Regulations and language skills guidelines . The PhD degree required for the position must have been completed before the starting date. A
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soil-plant interaction under different cropping systems and act in close collaboration with the bioeconomic modelling group. We are looking for a highly motivated and skilled researcher with a PhD degree
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for our open positions. Benefits We Offer: A three-year fully funded PhD position in an internationally recognized research environment. Opportunities to publish in top-tier cybersecurity journals and flag
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for your next career stage. Your profile Recent PhD in Cell Biology, Neuroscience, Biochemistry or a related discipline. A strong academic track record, and at least one recent first-author publication