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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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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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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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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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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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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