30 computer-science-programming-languages-"St"-"FEMTO-ST-institute"-"St" positions at Swedish University of Agricultural Sciences in Sweden
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and the horticultural engineering programmes supervise PhD students communicate research and research results be able to teach in Swedish or another Scandinavian language Eligibility The applicant shall
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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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of forests in climate change are now key social issues that require more knowledge. In order to both sustainably use and safeguard forest biodiversity, a coherent basic science research program is needed
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Would you like to work in an inspiring environment, helping to support research and internationalisation at the Swedish University of Agricultural Sciences (SLU)? Our Grants Office is looking
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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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international collaborations. The department is responsible for courses in 14 of SLU's educational programs, e.g. the agronomy programs, the bachelor's program in biology and environmental science, the master's
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at advanced and postgraduate level have good knowledge of English Assessment criteria The assessment criteria for employment shall primarily apply to the degree of such skill, which is a requirement for
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engineering, computer science, physics engineering, or equivalent) Programming skills in Python or another language Strong work ethic Fluency in English, with the ability to write, communicate, and interact in
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international collaborations. The Department is responsible for courses in 14 of SLU's educational programs, such as programs in agronomy, a bachelor's program in biology and environmental science, a master's
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, including univariate and multivariate approaches. The post doc must have a background in both soil and forest science. Experience in working in boreal forest systems is a must. Excellent skills in written