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microbiomes, and antibiotic resistance in large population cohorts and big data to help mitigate the global antimicrobial resistance (AMR) crisis. AMR is one of the biggest threats to human health and is
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26 Aug 2025 Job Information Organisation/Company UNIVERSITY OF HELSINKI Research Field Biological sciences Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country Finland
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at 23:59 EEST. We will process applications already during the application period and the position will be filled as soon as a suitable candidate is found. Further information
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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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sciences and have experience in algorithm development. Experience in processing of high-throughput sequencing data is an advantage. Excellent written and oral communication skills in English are needed. You
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. We will develop an isotope version of a process-based CH4 model and update the representation of different wetland types in the model using a data inversion approach. Additionally, we will analyze
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for independent creative thinking Skills in computer programming and experience with Linux and possibly machine learning The appointee should either already have the right to pursue a doctoral degree at the
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experimentalists and clinical partners to understand and model biological processes and disease phenotypes Supervise and mentor students, and assist other team members in experiment planning, data processing and
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of the near critical Ising model, or the massive Thirring model. Qualifications We are looking for applicants with a PhD in mathematics or theoretical physics, with experience in mathematically rigorous
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) and dean Johanna Niemi (johanna.niemi(at)helsinki.fi ). Further information about the recruitment process can be obtained from HR Specialist Mella Mattila (hr-oiktdk(at)helsinki.fi ). The Faculty of Law