27 big-data-and-machine-learning-phd Postdoctoral positions at UNIVERSITY OF HELSINKI in Finland
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decade, providing opportunities to mine big data to learn more about the drivers of AMR in humans. Our work includes computational analysis of antibiotic resistance and microbiomes, statistical analysis
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14 Oct 2025 Job Information Organisation/Company UNIVERSITY OF HELSINKI Research Field History Philosophy Religious sciences Juridical sciences Researcher Profile Recognised Researcher (R2
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to the editing of the resulting volume. Teach or co-teach (up to 10% of annual workload). Contribute actively to the project and the host institution’s research community. Eligibility and assessment Applicants
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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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18 Nov 2025 Job Information Organisation/Company UNIVERSITY OF HELSINKI Research Field Biological sciences Chemistry Environmental science Geosciences Researcher Profile Recognised Researcher (R2
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of Excellence in Tree Biology that brings together ten PIs from the University of Helsinki (UH) and two from the Natural Resources Institute Finland (Luke), who together with a large network of international
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11 Nov 2025 Job Information Organisation/Company UNIVERSITY OF HELSINKI Research Field Mathematics Physics Researcher Profile Leading Researcher (R4) Country Finland Application Deadline 15 Dec 2025
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shall have a PhD in a relevant field and research experience that supports the goals of the Simons Collaboration on Probabilistic Paths to Quantum Field Theory. E.g. scientific background in conformal
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, including how DNAme potentially drives trait variation and how it responds to the environment. We will use machine learning tools to perform high-throughput phenotyping of birch leaves – specifically stomatal