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and time. In this project we will model the ionosphere-ground system with a unique time-domain model which is developed in the group for ’Solar-Terrestrial Physics and Space Weather’ at the Department
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technical expertise. The obligate intracellular bacterial pathogen Chlamydia trachomatis is the most common infectious cause of blindness, as well as the most prevalent bacterial agent of sexually transmitted
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of pathogens, their interactions with hosts and the environment, and how they are transmitted through populations. Research will have a strong focus on computational analysis or predictive modelling of pathogen
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experimental cellular and molecular biology techniques, as well as in vitro, in situ, and in vivo model systems. Eligibility requirements To be admitted to doctoral studies, the applicant must meet both
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well as physically-based hydrological model development. The principal supervisor will be Ylva Sjöberg at Umeå University, and the research involves an interdisciplinary team of collaborators at Gothenburg University
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. Research will have a strong focus on computational analysis or predictive modelling of pathogen biology or host-microbe systems for which multidimensional, genome-scale experimental data are now available or
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and CH4) from headwaters, and use of machine learning and process-based model for large scale assessments and projections of the land-water carbon cycle to variation in climate conditions. The detailed
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are of interest. The primary objective of this PhD project is to develop adaptive statistical models for marked spatial and spatio-temporal point processes. Many real-world systems exhibit substantial spatial
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harmful content or incorrect code. This project introduces a new idea: instead of relying on opaque, heavy machine-learning models, it learns transparent, rule-based rewriting systems that can transform
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assess policy instruments (e.g., regulatory, market‑based, or voluntary tools) and governance strategies (e.g., top‑down, bottom‑up, network‑based models) is also highly valued. Overall, we are looking