29 proof-checking-postdoc-computer-science-logic PhD positions at Swedish University of Agricultural Sciences in Sweden
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industries: towards zero waste and a circular economy. The Department of Molecular Sciences, SLU, Uppsala consists of approximately 100 employees and, together with three other departments, forms an inspiring
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applied economics or a related field (e.g. agricultural economics, agribusiness, natural resource economics, forest economics, behavioral economics), or a strong quantitative interdisciplinary program
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agronomy programme in economics and management, as well as around bachelor and master programmes in economics and business. The research is organised into four thematic fields, where agricultural and food
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department houses master's and bachelor's programs in economics as well as a doctoral program. Priority areas in economics are environment and natural resources, and agricultural economics. Read more about
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Department of Aquatic Sciences and Assessment Third-cycle subject area Environmental assessment, specialising in environmental chemistry. Uncovering Hidden Chemicals in Our Food with Advanced Mass
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: https://internt.slu.se/en/my-employment/employee-associations/kontaktpersoner-vid-rekrytering/ The Swedish University of Agricultural Sciences (SLU) has a key role in the development for sustainable life
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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 that addresses
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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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will receive interdisciplinary training in bioinformatics, evolutionary genomics, and high-performance computing within the DDLS data-driven life science framework. Data-driven life science (DDLS) uses
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training in: genome biology and evolutionary genomics population genetics and conservation genomics computational analysis of large datasets The work will primarily be computational in nature, requiring