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Field
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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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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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Are you interested in cutting-edge research at the intersection of large language models, deep learning, and information retrieval? The Information Retrieval Lab (IRLab) at the University
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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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that you have to work with large datasets, from i.e. semi-quantitative LC-MS/MS proteomics, therefore proven affinity with R is an asset. You will work here The research is embedded within the chair
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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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large international community and a lot to offer to international employees. Because we expect you to work and live in the Netherlands our team of advisors on Dutch immigration procedures will help you
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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
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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