8 phd-computational-"IMPRS-ML"-"IMPRS-ML" Postdoctoral positions at Swedish University of Agricultural Sciences
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leading to production and harvesting in the regulated countries moving to unregulated countries. The position is part of a joint research program between Swedish University of Agricultural Sciences (SLU
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to integrate existing and new datasets into publishable manuscripts. Your profile The successful candidate must have: - a PhD in a discipline such as Environmental Sciences, Ecology, Forestry, or any other area
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profile Candidates should hold a PhD in a natural sciences discipline, such as biology, ecology, plant pathology, microbial ecology, agronomy or a similar subject. Candidates are expected to have an
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sensing, forestry, ecology, agriculture, and computer sciences. Experiences in scientific programming and 3D remote sensing data processing and analysis are required, as well as fluent in English for
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expected to integrate existing and new datasets into publishable manuscripts. Your profile The successful candidate must have: - A PhD in a discipline such as Environmental Sciences, Ecology, Forestry
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participating in projects that collect and utilize agronomic data from forages and crop rotations, and (3) writing scientific publications and grant applications. Qualifications: Required: A PhD degree in a
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addition, you should meet the following requirements: Hold a PhD degree in biology, ecology, analytical chemistry or equivalent Educational and professional qualifications relating to the scientific area of
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contact details of at least three references; and 4) a PhD degree certificate. Union representatives: https://internt.slu.se/en/my-employment/employee-associations/kontaktpersoner-vid-rekrytering