32 computer-algorithm positions at Swedish University of Agricultural Sciences in Sweden
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: Experience in tree breeding, knowledge of selection algorithms/predictive models, programming skills, experience in breeding simulation, first authorship, conference presentations, strong problem-solving
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suitable for examination. The Ph.D. program consists of 4-year full-time studies with the position contracted based on annual evaluations. Coursework is included in the Ph.D. program. Qualifications: To be
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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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for early-career researchers in the field of environment and sustainability. The position includes, among other things, participation in a leadership development program and the supervision of a doctoral
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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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, second and third cycle levels. The department is responsible for ca. 30 courses within SLU's educational programs, e.g. the agronomy programs, the bachelor's program in biology and environmental science
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social issues that require more knowledge. In order to both sustainably use and safeguard forest biodiversity, a coherent basic science research program is needed that addresses large and complex issues
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the role 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
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merits; Demonstrated experience of using computer programming languages (UNIX command line and R/python) for multi-omics data analysis. Experience in mentorship of students will also be a merit. Experience
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and safeguard forest biodiversity, a coherent basic science research program is needed that addresses large and complex issues and develops new analytical tools. That’s why the WIFORCE Research School