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) Country Finland Application Deadline 11 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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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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Application Deadline 10 Sep 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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) Country Finland Application Deadline 23 Oct 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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) Country Finland Application Deadline 23 Oct 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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, scientific publishing, organisation of project events and communication. The successful candidate should apply to the Doctoral Programme in Social Sciences and obtain the study right within the trial period
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development Skills, expertise and qualifications A Master’s degree in computational biology, computer science, data science, bioinformatics, or a related discipline Demonstrated machine learning experience
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Application Deadline 17 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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Pipsa Saharinen’s research group at the Translational Cancer Medicine Research Program at the Faculty of Medicine, University of Helsinki and Wihuri Research Institute invites applications
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complement the scientific profile of the Molecular and Integrative Biosciences Research Programme: https://www.helsinki.fi/en/faculty-biological-and-environmental-sciences/research/molecular-and-integrative