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of ORCRIST: Optimized Ray-tracing for Cloud-Radiation Interaction Simulations in 3D using GPUs and Machine Learning, funded by the NWO Open Technology Programme. Sunlight and heat radiation move
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proficiency in coding, knowledge of GIS environments and point cloud processing, strong interest in heritage scenarios as well as a collaborative attitude for interdisciplinary work between computer scientists
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with support from biostatisticians within the group. The bioinformatic work will be performed using high performance cloud computing solutions. This project offers the opportunity to utilise emerging
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into insight). To tackle this, the research blends ideas from knowledge graphs, stream processing, database theory, logic, edge and cloud computing, and Artificial Intelligence into a single coherent framework
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-constrained Physical AI by dynamically distributing and adapting AI workloads across embedded devices, the edge, and the cloud, while jointly orchestrating communication, computation, and sensing under strict
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, experience working with large-scale geospatial datasets and high-performance or cloud computing, and demonstrated expertise in advanced machine learning. Experience leading research projects, managing budgets
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7 Oct 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Communication engineering Engineering » Computer engineering Researcher Profile
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Research Framework Programme? Not funded by a EU programme Reference Number RUGGED-BIM-3 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Institute of Systems
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system integrates robotics, automated sample handling, sensor networks, imaging systems, cloud computing, and machine-learning-based analytics. The research work at NTNU will focus particularly
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a single place. They will be built from software functions that are placed, scaled, and moved across devices, base stations, edge sites, and central clouds, often owned and operated by different