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or similar areas, and fully comply with the following requirements: The doctoral degree must have been obtained at least 1 year ago; Proven experience in GIS environment analysis (QGIS, ArcGIS, R), statistical
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analysis, statistical modelling or remote sensing experience with GIS, programming (R/Python) or handling large datasets demonstrated interest in method development or biodiversity research Great emphasis
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skills (Python, R, Java, …) and interest to work in polyglot software environments Practical experience with machine learning and AI methods and an interest to learn, adapt and apply ML methods
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), 084004, 2025. [2] M. Bestehorn, D. Sharma, R. Borcia and S. Amiroudine, “Faraday instability of binary miscible/immiscible fluids with phase-field approach”, Phys. Rev. Fluids, 6, 064002, 2021. [3] A
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contribute to the development of: An R package for path-space rejection sampling for diffusion processes. An R package for Bayesian Fusion pooling inference, such as privacy Bayesian Fusion and constraint
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an individual Resistant, Tolerant, or Susceptible (R/T/S) to a virus? That is the key question we aim to answer in this PhD study. We have gathered data on viral outbreaks over ~20 years and sequenced hundreds
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to best deal with complex survival outcomes (e.g., competing risks and interval censoring) and on the development of statistical software in the R programming language. You will also become a member of the
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documents. Documents that cannot be sent digitally, should be marked with ref.no R 2025/236 sent to: University West HR 461 86 Trollhättan Sweden The application should reach University West no later than
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analysis and proficiency in the use of statistical software such as SPSS, R or STATA; c) Proficiency in spoken and written Portuguese and English; d) Availability to work outside the workplace, particularly
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until the positions are filled. Contact: Dr. ir. Gerben R. Stouten Environmental Biotechnology, Department of Geosciences, University of Tübingen