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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Computing Science (http://www.cs.umu.se) is hiring an associate professor in human-computer
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to the implementation and evaluation of various AI benchmarks, e.g., GENEA which focuses on natural modeling of human body language and co-speech gestures, and VOT which evlauates short and long term trackers in
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further assess the impact of muscle pressure on human spindles. The project will therefore add significantly to our understanding of how we perceive our muscles’ mechanical state. Moreover, advanced
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to reveal mechanisms that are critical for bacteria to cause infection in humans. This project is part of an ongoing research program funded by the Swedish Research Council. The program aims to combat human
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grades, - Copy of doctoral thesis and up to three relevant articles, - Other documents that the applicant wishes to claim. - Contact information to two persons willing to act as references. The application
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research project Our research is translational, combining basic and clinical sciences, in infection biology for personalized oral care, so-called precision dentistry. We are mapping the human genes
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information at: https://www.umu.se/en/department-of-computing-science/ Is this interesting for you? Welcome with your application before 13 May, 2024 Project description Current AI technology surpasses humans
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or unused proteins. Autophagy plays an important role in development and ageing and has been associated with diverse human diseases including cancer, neurodegeneration and pathogen infection. Emerging
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sphingolipids in key tissues like skeletal muscle, pancreatic islets, and adipose tissue, using human and mouse models alongside experimental cell lines. Functional assessments of cells and tissues from human and
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. The postdoctoral candidate will work with researchers from various fields and will be involved in human lab experiments, functional Magnetic Resonance Imaging (fMRI), brain imaging techniques focusing