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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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(linking phenotypes, imaging, cytometry, or other readouts to transcriptomics) Statistics / machine learning for biological inference (model validation, differential state testing, embeddings/classifiers
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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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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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activities (approximately 16% of working time) and supervising PhD students in applied economics research at the University of Helsinki. In addition, the researcher can use up to 50 per cent of their working
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and genomics as approaches to study the cambial cells in the model species Arabidopsis thaliana, and recently also in hybrid aspen and in silver birch. We are seeking postdoctoral researcher(s) and PhD
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across connected forest–lake ecosystems. By integrating multi-taxa field data, trait-based ecology, experiments, and advanced statistical analyses, TRACE aims to uncover how ecological processes propagate
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applied industrial economics with ample opportunities for individual and collaborative research, acquisition of external research funds, and supervising MSc and PhD students. We seek candidates who have
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funds, and supervising MSc and PhD students. We seek candidates who have completed a PhD in economics or agricultural economics, who have solid training in econometrics and applied microeconomics and
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closing date for applications is 5pm Eastern European Time on Friday the 27th February 2026. We will process applications already during the application period and the position will be filled as soon as a