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situated in the field of machine learning. Potential research topics include, but are not limited to, algorithmic knowledge discovery, graph mining and social network analysis, optimization for machine
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Description of the workplace The Genetics and Diabetes research group aims to investigate genetics and precision medicine approaches to diabetes and related traits. The group is led by Associate
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Department of Forest Bioeconomy and Technology and Department of Forest Genetics and Plant Physiology This project invites you to combine genetics and data from real-world forestry to better
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channels, transporters, and stress signaling systems. The project requires thorough knowledge of bacterial cell biology and molecular genetics as well as hands-on experience with cloning, live-cell
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and molecular genetics as well as hands-on experience with cloning, live-cell fluorescence microscopy, image analysis, and sample preparation for sequencing and multi-omics analyses. The main model
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. Project description This PhD project focuses on advancing the scientific computing foundations of quantum spin dynamics by developing efficient numerical algorithms for modeling complex, open quantum
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of infancy, primary immunodeficiencies are now viewed as more common, also explaining disease in children, adolescents, and adults. With high-throughput genetics, rare, potentially disease-causing variants can
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position within a Research Infrastructure? No Offer Description Department of Forest Bioeconomy and Technology and Department of Forest Genetics and Plant Physiology This project invites you to combine
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and tomographic radar capabilities. Our team is responsible for the algorithms which derive the biomass data product. The post-doc project is about extending the biomass algorithm to also include data
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to develop complement/augment classical CFD methods with quantum algorithms/techniques. The work lies at the intersection of multiphase flow physics, numerical modeling, and quantum computing. Who we