18 condition-monitoring-machine-learning Postdoctoral positions at UNIVERSITY OF HELSINKI in Finland
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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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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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. The objective is to understand how algal blooms and the changing conditions around them contribute to the reconfiguration of human-environment relations in the context of the ecological crisis using Finland as an
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the world, while reinforcing its status as a distinguished institution of multidisciplinary education in healthcare: https://www.helsinki.fi/en/faculty-of-medicine . The Faculty of Medicine at the University
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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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sustainable policies for human flourishing. This includes identifying social and environmental inequalities, supporting inclusive social action and policies, informing learning and education, promoting
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reinforcing its status as a distinguished institution of multidisciplinary education in healthcare: https://www.helsinki.fi/en/faculty-of-medicine The Faculty of Medicine at the University of Helsinki