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educational programs, we are now seeking a postdoctoral researcher to work on privacy for data-driven models and high-dimensional data. The position is full-time for two years, starting on 1st September, or as
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mathematics, ecology, history, climatic and medical sciences in collaboration across multiple institutes. An integral part of the project is to develop process-based eco-epidemiological models considering
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full time for two years and the position is expected to start on November 1st 2025, or according to agreement. The position is based at the Department of Ecology, Environment and Geopscience at Umeå
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hydrodynamic models based on Partial Differential Equations (PDEs). This approach yields efficient reduced-order models that accurately represent essential lake behaviors with significantly lower computational
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screen in this in vivo model. Thereafter, based on the results of the screen, novel therapeutic treatment strategies and possible new biomarkers will be explored. The overall aim is to develop new
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, 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 modeling of pathogen biology or host
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. We are announcing a postdoctoral position in tropical carbon cycling and modelling. The employment is full time
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central role in conducting laboratory-based experimental work using clinical samples, with a particular emphasis on microRNA profiling and whole-genome or exome sequencing, including metagenomic approaches
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based primarily on the relevance and quality of the submitted research plan and secondarily on other scientific merits. Importance will be placed on experience of engagement with non-academic stakeholders
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speed of light in air than in glass), lower nonlinearity and dispersion, and the liberty of choosing light wavelengths in a wider spectral range. These HCFs are based on anti-resonant reflection by sub