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Field
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electrical power systems! Information The power and energy systems community is increasingly interested in emerging computing technologies, including quantum computing, to address challenges in power system
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machine learning solutions to optimize the component lifecycle directly contributing to a more circular economy. Information In the manufacturing landscape, determining whether a component should be
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), using large-scale real-world data. This PostDoc position is part of a ZonMw-funded project on long-term risks in patients with post-COVID compared to individuals with similar complaints after other viral
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microscopy (LFSM) and the experience in computational data science to handle the resulting large 3D datasets. We are looking for an enthusiastic and creative team player with good communication skills, who is
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microscopy methods such as light-sheet fluorescence microscopy (LFSM) and the experience in computational data science to handle the resulting large 3D datasets. We are looking for an enthusiastic and creative
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large pan-European research initiative that brings together researchers, clinicians, and patient communities. Your project focuses on analyzing multi-omics sequencing data from thousands of patients with
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? Information Integrated circuits are crucial for the functioning of electronic devices, providing access and storage of information (e.g. business transactions, medical diagnostics, entertainment) on which our
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of data structures, static analyses and compiler optimizations, parallelism and concurrency) to turn these new theoretical developments into performant implementations; building state-of-the-art
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Sciences and Primary care, one of our key research areas is the relationship between acute infections and non-communicable diseases (e.g. cardiovascular, auto-immune), using large-scale real-world data
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analyses using your own data and large public data resources and integrate your findings with clinical data (symptoms, EEG, etc). Finally, you will contribute to other activities of the STXBP1 team