10 big-data-and-machine-learning-phd Postdoctoral positions at Swedish University of Agricultural Sciences
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monitoring data and new data collected within the project. Areas and time periods with different abundances of herring will be used to investigate the role of herring in the coastal ecosystem, as prey
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, fitting to the project plan. Your profile The candidate should have a PhD degree in natural resource economics or a similar subject. Proven experience in data analysis of markets related to natural
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of an excellent team of several PhD students, PostDocs, and Researchers working on different projects related to biotechnological methods for producing recombinant silk proteins, characterization of these, spinning
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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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positive attitude. You will be responsible for planning, executing and analysing data and should enjoy working in a vibrant and collaborative atmosphere. Your profile A PhD in a relevant field obtained
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the boreal region of Sweden. The study sites are part of the SLU forest long-term trial series and located in boreal Sweden. Similar data from conventional rotation-forestry sites are available for further
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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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. Programming skills in R is a requirement, and programming skills in dynamic modelling in other languages is a merit. Fluency in spoken and written English is a requirement. Qualifications: PhD degree in ecology
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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
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grazing systems to improve the system’s economical sustainability. Tasks Perform wet chemistry analyses, manage and analyse biological data collected during grazing trials with dairy cows Author research