49 parallel-and-distributed-computing-phd positions at Swedish University of Agricultural Sciences
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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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master degree degree is required in relevant areas such as remote sensing, computer sciences, and mathematics. You are also required to have strong background in deep learning for image analysis, e.g
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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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collaboration with other researchers. Your profile • Formal requirement: Doctoral degree (PhD) in quantitative genetics, tree breeding, biometrics, statistical genetics, bioinformatics or related field
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institution. Applicants who are not Swedish citizens need to submit an attested copy of their passport’s information page containing their photograph and personal details. Read about the PhD education at SLU
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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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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
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training in orthopaedics and rehabilitation such as a completed residency program within ECVSMR or obtained the diploma. You are used to meeting animal owners in different situations. You have good