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researchers in biodiversity science, genetic indicator assessment and ecological statistics for a fixed term of 2 years. There will be a trial period of six months in the beginning. The post doc positions
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for a fixed term of 2 years. There will be a trial period of six months in the beginning. The post doc positions are part of the Research Centre for Ecological Change (REC) and are funded by the Jane and
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Postdoctoral Researcher in Multimodal Machine Learning for Precision Cancer Medicine The Machine Learning in Biomedicine (MLBioMed) research group at the Institute for Molecular Medicine Finland
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for 2 Post-Doctoral Researcher positions in the field of immunology to work on Research Council of Finland-funded projects. The Fagerholm group consists of Immunologists, Biochemists and Bioinformaticians
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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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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 teaching or supervision duties. Requirements The successful applicant should have a doctoral degree in statistics, mathematics, machine learning, or other relevant field, and experience in developing and
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, calibration, and the development of analysis tools and software. Our key focus areas are the physics of jets, top quarks, and EWSB, including the development of novel machine-learning methods for high-energy
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analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems. The department has extensive
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with the land surface model to conduct regional simulations; Flux and concentration footprint modelling; Post-processing of eddy covariance data, gap filling and data analysis; Plan, coordinate and