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results in the form of scientific publications and by participating in international conferences and workshops. Contribute to supervision of PhD, MSc and BSc students and other teaching activities
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The position requires: A doctoral degree relevant to the project (e.g., biology, genomics, evolutionary biology) Less than seven years since obtaining the PhD Ability to conduct independent scholarly work Strong
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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 trial period of six months
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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