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doctoral degree relevant for the project, for instance a PhD in plant sciences or plant ecology, and the ability to conduct independent scholarly work. The position also provides the opportunity to co
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degree (PhD or equivalent) in computer science, data science, statistics, bioinformatics, or a related discipline A strong publication record in machine learning, computer science, bioinformatics
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collection and/or experimentation. We seek candidates who have completed a PhD in ecology or a related field, have strong conceptual and statistical skills, and experience working with large and complex
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on the research interests of the candidate, there will also be opportunities to complement existing data with additional field data collection and/or experimentation. We seek candidates who have completed a PhD in
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. Should you have any questions, need assistance or adjustments during the recruitment process, please contact phd-positions@helsinki.fi – we’re here to support you. A diverse and equitable study and work
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. Qualifications of the postdoctoral researcher The position requires a doctoral degree relevant for the project, for instance a PhD in plant sciences or plant ecology, and the ability to conduct independent
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menu at the top of the page to see detailed instructions. Should you have any questions, need assistance or adjustments during the recruitment process, please contact phd-positions@helsinki.fi – we’re
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the internationally leading, integrated multidisciplinary research and education environment for atmospheric and Earth system science and to feed in scientific results for the national and international environment and
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starting 1 January 2026, or as agreed, in the Ageing, Environment and Functioning profiling area (ENVIS-AGE) at the Faculty of Sport and Health Sciences , University of Jyväskylä. In this position
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and social sciences in the University of Helsinki. INAR aims to strengthen the internationally leading, integrated multidisciplinary research and education environment for atmospheric and Earth system