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picture recognition. Strong background in machine learning, statistical modeling, and big-data analytics. Experience with infrastructure or transportation data or traffic planning (e.g. micro-simulation
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position at the School of Business at Örebro University. The position is focused on empirical research on the effects of artificial intelligence (AI) on productivity and labour markets, combining micro-level
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storage, and optics. From AI modelling of materials and biological complexity to the design of multifunctional micro- and nano systems, we combine theory, fabrication, and innovation to tackle challenges in
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, and AI-based cybersecurity. The research also encompasses the protection of critical infrastructure, including smart grids and secure software supply chains. At the university's cybersecurity lab
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). The project combines genomic, epigenomic and 3D chromatin profiling (ATAC-Seq, easySHARE-Seq, ChIP-Seq, Micro-C/Hi-C, BS-Seq/EM-Seq), massively parallel enhancer assays (ATAC-STARR-seq), and comparative
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, Micro-C/Hi-C, BS-Seq/EM-Seq), massively parallel enhancer assays (ATAC-STARR-seq), and comparative/bayesian/deep-learning analyses, with functional validation in spruce via CRISPR-Cas9 and nanoparticle
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. The project combines micro-ethnographic, multimodal analyses of writing processes (e.g. keystroke logging, screen capture, stimulated-recall interviews) with corpus-based and genre-oriented analyses
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, and knowledge of, cryo-electron microscopy (cryo-EM) for structural analysis of proteins and protein complexes, including sample preparation, grid freezing and image acquisition. Documented ability
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are developed for areas such as verification, intrusion detection, and AI-based cybersecurity. The research also encompasses the protection of critical infrastructure, including smart grids and secure software
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each year. You can find more information about us on the Department of Information Technology website. At the Division of Systems and Control in the Department of Information Technology, we develop both