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division 8.5 Planning, performing, and evaluating in-situ/4D computed tomography experiments Developing software for the quantitative evaluation of various image data sets (algorithms for detecting volume
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validation and Pileup modeling), the MET High-Level Trigger validation, optimization and performance studies, and to the heterogeneous computing where the focus will be to work on to the current efforts
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in applying artificial intelligence and high-performance
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. Empa is a research institution of the ETH Domain. The goal of our Concrete & Asphalt Laboratory is to make cementitious and bituminous materials more sustainable and high-performing through both
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computer vision and machine learning approaches to integrate ground-based imagery, remote sensing data, and lidar data for high-resolution flood detection and mapping. Develop and calibrate hydraulic flood
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 5 days ago
this, the candidate will explore computational strategies to improve the performance and stability of the inversion process. A key aspect of this investigation will focus on the optimal selection and use of data
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performance and robustness, and (ii) exemplary passion and motivation to pursue multidisciplinary research at the intersection of computing and healthcare. Methodologies of interest include: Multi-modal
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, high performance computing and deep learning. The candidate will work in a collaborative research and development environment focusing on designing, implementing, and applying robust and high performance
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. The group will be contributing to the Physics Modeling (MC software, MC validation and Pileup modeling), the MET High-Level Trigger validation, optimization and performance studies, and to the heterogeneous
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programming; Experience programming distributed systems; Experience with parallel and distributed File Systems (e.g., Lustre, GPFS, Ceph) development. Advanced experience with high-performance computing and/or