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leverage large administrative datasets and empirical methods from the research frontier. The successful applicant will receive mentoring from the above-mentioned group. Research fellows are physically based
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for Swedish researchers to analyze on a large scale biomolecules in various organisms and samples with the intention of clarifying molecular mechanisms related to health and the environment. Examples
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recording of video and audio in the wild, high-throughput imaging of biological specimens, and large-scale remote monitoring of organisms or habitats. The PhD project in Data-Driven Evolution and Biodiversity
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recording of video and audio in the wild, high-throughput imaging of biological specimens, and large-scale remote monitoring of organisms or habitats. The PhD project in Data-Driven Evolution and Biodiversity
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diffraction, electron microscopy, electron crystallography, solid-state NMR, and computer modelling of materials with a potential for various applications. Research activities in the area of Analytical
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of this project is to develop computational algorithms and methods that use omics data to infer gene regulatory networks (GRNs), and apply these to understand regulatory mechanisms that lead to cancer formation
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, the Royal Institute of Technology, and Uppsala University. The SciLifeLab is a national centre for large-scale biosciences with a focus on health and environmental research. The centre combines advanced
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languages. We welcome and value diversity in our working environment. Information about the PhD programme at MISU . Project description In this project, we have a vision of further developing the so called
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protein-protein interactions. Our initial studies have shown that it is possible to predict accurate structures of a large part of dimeric proteins using either a modified version of AlphaFold2 or AlphaFold
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. These methods are very powerful, but they are complex, low in throughput and expensive. In order to scale targeted spatial omics methods to allow large studies of clinical cohorts, or for diagnostic applications