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no estimate of their correctness which severely hampers accurate estimation of the correctness of downstream analysis. In this project we will develop novel models for estimating the correctness of genome and
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, current tools for assembly and compaction of sequencing data produce sequences with no estimate of their correctness which severely hampers accurate estimation of the correctness of downstream analysis. In
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Northern wetlands emit large amounts of methane (CH4), a potent greenhouse gas. There are high uncertainties in the estimation of wetland CH4 emissions due to the large temporal and spatial variations in CH4
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negotiable, preferably in autumn 2025 or in 2026. Background Northern wetlands emit large amounts of methane (CH4), a potent greenhouse gas. There are high uncertainties in the estimation of wetland CH4
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investigation and will develop an advanced computer modeling framework. By simulating processes at various scales, from the atomistic to continuum, we aim to reveal how temperature and saturation fluctuations
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for independent creative thinking Skills in computer programming and experience with Linux and possibly machine learning The appointee should either already have the right to pursue a doctoral degree at the
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Current climate change scenarios estimate the growth zones to shift approximately 80 km northwards in a decade, and the speed is likely to accelerate towards the end of the century. On the other
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the fields of medicine, life sciences, social sciences as well as computer and computational sciences to promote scientific and societal impact. We provide mechanistic, individualized, preventive and