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within tissues using our in-house developed spatial transcriptomics-based technology (Spatial VDJ). Using established and newly developed algorithms, we map B cell evolution within tissues, including class
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before the application deadline* Demonstrate strong mathematical skills, particularly in optimization and algorithm development Have a publication record in peer-reviewed journals (e.g., IEEE Transactions
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– including the health, safety and wellbeing of workers. The aim of the research programme ALGOSH: Algorithmic management at work - challenges, opportunities and strategies for occupational safety and health
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industrial partners and is partly externally funded by the KK Foundation. In co-production with our corporate partners and the community, we develop concepts, principles, methods, algorithms, and tools
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passive and active flow control algorithms, potentially incorporating machine learning/AI, to enhance aerodynamic performance and stall delay with rapid response times. The research is conducted in
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immunology. For a recent list of topics that the Murrell lab works on, please see: https://scholar.google.com/citations?hl=en&user=I80vy5cAAAAJ&sortby=pubdate and https://staff.ki.se/people/benjamin-murrell
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driving range. The project aims to analyze algorithms for predicting the remaining driving range of EVs and suggest ways to improve the current state of the art. The idea is to develop a model-based
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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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experimental activities of the group. Administration related to the work duties listed above. Qualification requirements Appointment to a post-doctoral position requires that the applicant has a PhD, or an
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the opportunity to develop your own research ideas within the lab’s focus areas Build and refine computational models of human innovation and learning processes Design and test AI algorithms