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Description Job description Driven by the urgent challenges of climate change and energy security, energy systems are undergoing a paradigm shift toward a fully renewable and power-electronic-dominated future
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that facilitate interactions of electrons and spins could revolutionize information processing and storage technologies. Towards this purpose, we aim to explore low-dimensional magnetoelectric and altermagnetic
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fluid dynamics and vascular modeling in microenvironments Skills in data analysis and image processing (e.g., Python, R, ImageJ) Ability to mentor junior researchers and contribute to team leadership What
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, deep learning, and human computer interaction. Furthermore, this university is Sweden’s leading university in industrial collaboration. The Machine Learning (ML) subject at the department
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spins could revolutionize information processing and storage technologies. Towards this purpose, we aim to explore low-dimensional magnetoelectric and altermagnetic materials based on halides
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to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven
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. Your mission Understanding disease requires weaving together many layers of biological and clinical information. By fusing multimodal data including genomics, imaging, spatial omics, and patient records
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processes to human health and ecosystems. As part of SciLifeLab, a unique nation-wide infrastructure and research community that combines advanced life science technologies with data and AI expertise
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biology, protein engineering, biochemistry. Optical engineering, fluorescence microscopy, image analysis: Development of microscopes and data analysis pipelines used to acquire and quantify high-throughput
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), Nouryon (chemically modified fibers and industrial context), and KTH (cross-validation and imaging). Work primarily at Chalmers and the Swedish NMR Centre in Gothenburg, with regular interaction across