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skills of a 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
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of the atomic layer deposition tools. Qualifications: PhD in one of the following broader experimental areas: physics, chemistry, materials science Experience with thin film deposition using atomic layer
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requirements for the position. Finnish language is not required. Applicants must be motivated to conduct research at the highest international level. Postdoctoral Researchers must hold a PhD degree in a suitable
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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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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
: Letter of motivation (max one page). CV including list of publications. Copy of your Master’s and PhD degree certificates (or an estimated graduation date if the PhD degree is not completed) and a
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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
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diverse backgrounds to apply for our positions. YOUR PROFILE PhD in statistics, mathematics, biology, evolutionary anthropology or a related field Strong background in statistical and mathematical modelling
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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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who will have completed their PhD by autumn 2026, and fall into two categories: 1) Entry-level Postdoctoral Researcher, intended for candidates with no more than three years of postdoctoral experience
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the candidate's background and interests, ensuring a collaborative and engaging research experience. We seek candidates who have completed a PhD in ecological statistics or environmental economics or a related