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get the possibility to join a top-notch research environment in human-computer interaction and have a strong collaboration with other research groups in Aalto and the EU. You would also be able
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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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statistical modelling, Solid skills in computer programming for data science (e.g. R, Python), Experience with real-world data analysis tasks, Good communication skills in English, both verbal and written
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, communicate proficiently, and have collaboration skills Knowledge of 3D computer vision, tomography reconstruction, electron microscopy, and MRI is a plus. Your benefits You will have access to the university’s
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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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joint research group at Aalto University and the University of Oxford. The lab brings together social and computer scientists through cross-site seminars, workshops, and conferences. Travel and
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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