29 big-data-and-machine-learning-phd Postdoctoral positions at UNIVERSITY OF HELSINKI
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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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data has increased massively in the last decade, providing opportunities to mine big data to learn more about the drivers of AMR in humans. Our work includes computational analysis of antibiotic
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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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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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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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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
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-immunology-program-trimm YOUR QUALIFICATIONS We are looking for ambitious researchers with a PhD, a solid publication record, and strong background in some of the following experimental/computational areas