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cybersecurity team at Luleå University of Technology and also our partner within Cybercampus Sweden, RISE. We will use methods and technologies including expert systems, evolutionary algorithms, machine learning
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and functional diagnostic methods. These methods are used in everything from experimental research to clinical studies on patients and large-scale epidemiological studies on volunteers. In
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interests, the project can take several directions. One option is to use Systems Biology methods to formulate a set of ordinary differential equations describing how genes regulate each other across
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control and its integration with learning-based motion prediction under uncertainty. - Validate methods through simulation and collaboration with industrial partners (Volvo Cars and Volvo Group). - Publish
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developing AI methods for automated microstructure analysis and 3D microstructure generation. By combining self-supervised learning and diffusion-based generative models, the goal is to: Reconstruct high
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the available analytical options, liquid chromatography with various detection modes, target and non-target mass spectrometry, and nuclear magnetic resonance (NMR) spectroscopy will be the main applied methods
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include: -Investigate and develop cloud platform to support elastic and cost-efficient AI operations regarding climate change management. -Investigate and develop methods to support user-centric immersive
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include: -Investigate and develop cloud platform to support elastic and cost-efficient AI operations regarding climate change management. -Investigate and develop methods to support user-centric immersive
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combination of different methods such as population genetics, analyses of fungal environmental DNA and soil spore banks in soil to find out about the life histories of ectomycorrhizal fungi in general, and
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of biomolecular condensates in immune cell activation and identify the mechanisms controlling the expression of immunoglobulin transcripts. Using both experimental molecular and cellular biology methods and