131 postdoc-in-postdoc-in-automation-and-control-"Multiple" Postdoctoral positions in Sweden
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210 postdoctoral positions and establish a research school for 260 PhDs, including industry PhDs and postdocs. Fellows will be recruited to the 11 participating host universities/organizations but
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260 PhDs, including industry PhDs and postdocs. Fellows will be recruited to the 11 participating host universities/organizations but brought together under a national DDLS program coordinated by
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260 PhDs, including industry PhDs and postdocs. Fellows will be recruited to the 11 participating host universities/organizations but brought together under a national DDLS program coordinated by
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for the appointment as a postdoctoral researcher. This eligibility requirement must be met no later than the time at which postdoc position starts. We seek highly motivated candidates with documented experience in
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, research visits, and other activities to promote a strong multi-disciplinary and international network between PhD students, postdocs, researchers, and industry. Qualifications To be appointed under
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inferring interactions using multiple field and lab methods About us The Department of Ecology at SLU is a major centre of ecological research in Scandinavia. We combine research in basic ecology with applied
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tools, version control (Git), and collaborative coding (strong merit) Strong understanding of statistics and machine learning for high-dimensional data (strong merit) Experience with workflow management
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mathematics, ecology, history, climatic and medical sciences in collaboration across multiple institutes. An integral part of the project is to develop process-based eco-epidemiological models considering
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across Sweden and beyond. At NGI, you will be part of a dynamic environment with access to a broad range of instruments, high throughput automation, and strong computational expertise (https
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tools, version control (Git), and collaborative coding (strong merit) Strong understanding of statistics and machine learning for high-dimensional data (strong merit) Experience with workflow management