18 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIS" positions at Swedish University of Agricultural Sciences
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Come join our spider silk team! In this project we will develop novel methods for producing recombinant spider silk proteins. As a research group we are interested in how spiders have solved
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LiDAR and UAV photogrammetry) with physiological and spectral indicators of forest health. The research will be conducted at multiple spatial scales, from single trees to landscapes, and integrated
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sensing. The assistant will work in research projects developing remote sensing techniques to estimate forest productivity and tree physiology under climatic stressors. Duties include e.g. post-processing
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space, with a focus on butterfly caterpillar-plant interactions and development of phylogenetic methods. The successful candidate will be responsible for coordinating a study of transcriptional plasticity
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advantage Drivers license Willingness to travel nationally and internationally As postdoctoral appointments are career-developing positions for junior researchers, we are primarily looking for candidates with
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://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, based on science
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Department of Economics The Swedish University of Agricultural Sciences (SLU) is a world-class institution in life and environmental sciences, aiming to contribute to sustainable development through
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Estonia. You will be responsible for designing, developing, conducting, and analysing experiments, which will include small scale field and greenhouse trials of cover crops and potato as well as laboratory
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contribute to the development of innovative, AI-based solutions for mapping forest disturbances using satellite data and deep learning.. About the position Forests across Europe are experiencing unprecedented
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well as to reduce other negative environmental impacts, are central to the work. The work will build on the extensive knowledge and model structure developed within phase 1 of the research program Mistra Food Futures