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are looking for a postdoctoral researcher who wants to contribute to the development of next-generation frameworks for resilient power grids. In this role, you will combine theory and experimentation to address
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description To support the integration of energy communities and virtual energy sharing in Sweden, technically robust and economically viable solutions are required under evolving regulatory and grid conditions
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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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, neural interfaces, energy harvesting and storage, and optics. From AI modelling of materials and biological complexity to the design of multifunctional micro- and nano systems, we combine theory
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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