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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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-PCR, microscopy and computational analysis skills (such as RNAseq, sc-RNseq analysis) are considered advantageous. The applicant should have the ability to work productively both independently and as
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-seq, single cell analysis, integration/harmonization of data) Demonstrate excellent written and verbal communication skills Have the ability to work independently and collaboratively in a dynamic
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computing, data science, or human-computer interaction. Programming skills needed to do data analysis (we mainly use Python) You can be interested either in theoretical methods development or applications
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to explore socioeconomic disparities in the use of family leaves: how parents share leave and how their social environments influence their leave-taking. The project investigates both typical and atypical
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candidate will work with Prof. Tapio Pahikkala (http://staff.cs.utu.fi/~aatapa/ ) and Dr. Nina Dresing (https://www.utu.fi/en/people/nina-gieseler ) in their Research Council of Finland project AIPAD, which
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, and on a related physics analysis, for instance HLT scouting jet analysis of boosted Z->bb or H->bb, or a Higgs boson measurement or search for new physics in hadronic final states where performance is
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high-quality life science research across university campuses and faculties. The Institute of Biotechnology (BI), a part of HiLIFE, is an internationally renowned research institute with an inclusive and
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the broader context of U.S.–China technological rivalry. The project contributes to international political economy, digital governance, and security studies. The successful candidate will lead a work package