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description and working tasks This project proposes the implementation of a cognitive agent embodied in a humanoid robot which will collaborate with a human partner or with another humanoid robot to solve a
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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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full time for two years and the position is expected to start on September 1st 2025, or according to agreement. The position is based at the Department of Ecology and Environmental Science at Umeå
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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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on the use machine learning + AI tools as well as more classical but largest-scale equation-based mechanistic computational models together with patient data to create clinically predictive computational
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. Recommendations on the treatment and follow-up of hypertension are based almost exclusively on data from middle-aged people. There is no information on optimal blood pressure levels in adolescence, blood pressure
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of the genotoxins on activation of the DNA damage and host immune response will be studied in short term and long-term infections/intoxication in in vivo models, ex vivo and 3D models. The project employs a
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science-related applications. Explicitly accounting for symmetry is not the standard approach in machine learning – a well set up model should be able to ‘detect’ the symmetry automatically. One way
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these questions, we will determine RNA structures in vivo using cutting-edge transcriptome-wide RNA structure probing techniques that together with computational models and machine learning algorithms will generate
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high computing servers. Machine learning, Large Language models. Additional useful qualifications Since appointment as a postdoctoral researcher is a career-development position for junior researchers