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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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to state-of-the-art resources and excellent support to further learning and professional development The University of Helsinki offers comprehensive services to its employees, including occupational health
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joint research group at Aalto University and the University of Oxford. The lab brings together social and computer scientists through cross-site seminars, workshops, and conferences. Travel and
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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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to conduct scholarly work and research both independently and as member of interdisciplinary research groups have ability of learn fast have motivation and capabilities to teach environmental life cycle
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investigation and will develop an advanced computer modeling framework. By simulating processes at various scales, from the atomistic to continuum, we aim to reveal how temperature and saturation fluctuations
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skills and willingness to teach in the Faculty’s teaching programmes. A post doc teaches normally two courses per academic year. Qualification requirements PhD degree in law. Teamwork skills and the
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skills Competency in or willingness to learn process-based modelling Strong data management skills and proficiency with analytical tools e.g. Matlab, R, Python Previous experiences with eddy covariance
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in biology, forest sciences, environmental sciences, or data sciences. A strong background or motivation to learn ecological genetics and evolutionary biology as well as competence in bioinformatics
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nora.lehotai@umu.se . Visit the NORPOD program page to learn more about the programme. We welcome your application!