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The laboratories of Dr. Jette Lengefeld (www.lengefeldlab.com ) and Dr. Nahid Khan are inviting applicants for two post-doctoral and two PhD student positions in stem cell, metabolism and aging
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one-year extension. Considering different life situations, applications for a longer or a shorter contract with us are equally welcome. Your experience We expect you to have a PhD (or equivalent) degree
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of secondary organic aerosols (SOA), aerosol-cloud interactions, anthropogenic-biogenic interactions and representation of aerosols in climate models. The group is part of the Atmosphere and Climate Competence
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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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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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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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-sensor synchronization, cloud infrastructure, and secure file transfer prior experience of clinical / health technology-oriented projects Your benefits You will have access to the university’s staff
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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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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