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Field
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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
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involves complex information systems at large, with a focus on collaborative, data driven, computational, and intelligent systems, all with a strong interactive component. The Digital Interactions Lab
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electrocardiograms (ECGs) and computed tomography (CT) data from a very large (> 20,000 ICU admissions) high-quality ICU data set. work with a large cardiovascular ICU database, containing over 20,000 ECGs and CT
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10 Oct 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Systems engineering Researcher Profile First Stage Researcher (R1) Country
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vehicles concentrated the most. For the implementation of the system, users will be allocated, in real time, to either the fixed lines or pooled on-demand vehicles. This requires efficient methods for large
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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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. The main research themes are Artificial Intelligence, Computational Science, and Systems and Network Engineering. Our research involves complex information systems at large, with a focus on collaborative
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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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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