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or plant phenotyping, or image analysis. Experience with isotope tracing, physiological measurements, or nutrient analysis. Skills in statistical modelling (e.g. R), multivariate analysis, or trait-based
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sampling, forest mathematical statistics and landscape studies. The department is also responsible for the implementation of the ongoing environmental monitoring programs the National Forest Inventory
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measurement Bioacoustics, statistics and AI for forest biodiversity Remote sensing of boreal forest fires Drought tolerance and resilience under elevated soil fertility – forest ecophysiology Airborne eDNA
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Engineering (ISY), Linköping University. The Division for Communication Systems carries out research, undergraduate and postgraduate education in communications engineering, statistical signal processing
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the field and in the lab) and developing scientific publications. We expect them to be pro-active and take own initiatives. Good numerical and statistical skills and some previous experience in molecular
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. The candidate's background should include courses in statistics and additional programming skills are preferred. The candidate must be intellectually flexible, a strong communicator and willing to work as part of a
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, conducting, and reporting scientific studies, as well as familiarity with statistical analyses (e.g., R), is also considered an advantage. You should be able to work both independently and as part of a team
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in big-data analysis, bioinformatics, statistics, etc. The candidate should have an interest to investigate the interplay between the clinical patient presentation and the complex underlying molecular
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behaviour and welfare. interest and/or experience in animal behaviour, experimental studies, statistics, and computer-based data analysis. strong communication skills in English (spoken and written
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advanced statistical modelling of large datasets. Epidemiological data for the project are already available. As a doctoral student, you will have excellent opportunities to collaborate with our various