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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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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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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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keen interest in organizing large data collections and open data science are an important asset. You possess excellent collaborative and communication skills both scientifically and towards patient
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16 Sep 2025 Job Information Organisation/Company University of Twente (UT) Research Field Computer science » Programming Engineering » Aerospace engineering Engineering » Civil engineering
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challenge. This project will explore how reconfigurable computing devices can be integrated into large-scale heterogeneous infrastructures, which include CPUs, GPUs, DPUs, and others. The research will focus