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: Comprehensive health & life insurance Relocation support for international faculty Build State-of-the-Art Research Facilities: Cutting-edge AI labs and high-performance computing Live in Abu Dhabi
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Experience with multimodal and/or multitemporal data. Experience with Earth observation or regression datasets is an advantage Experience working on High-Performance Computing (HPC) systems, including batch
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calculations will be performed using ETH Zurich’s high-performance computing infrastructure. In addition to research, the doctoral candidate will contribute to general laboratory activities and will have
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involve a lot of experiments using DL/AI methods. We will use the Monash <b>High</b> <b>Performance</b> <b>Computing</b> platform (MASSIVE) to do the experiments. Required knowledge You must have experience in Deep Learning, and have strong programming skills. Learn more about minimum entry...
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We invite applications for two Doctoral positions in experimental quantum computing with superconducting circuits. You will work in the stimulating research environment of the Wallenberg Centre for
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, FAIR principles, and linked data. Data-intensive research computing: reproducible workflows, containers, high-performance computing, Slurm environments, and the appropriate use of GPU resources
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hereafter. The duration of the position is three years. Your work tasks This PhD position focuses on the application of quantum computing to computational challenges in power systems with high shares of
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available datasets to interpret results in a robust biological context Ensure reproducibility, data management, and documentation of computational workflows in high-performance computing environments
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) and foundation models for biomedical research Electronic Health Record (EHR) analytics and clinical data integration Biomedical image analysis and quantitative microscopy High-performance computing
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. Susquehanna's proprietary datasets and computing infrastructure - including a rapidly growing cluster of thousands of high-end GPUs - support computationally intensive training, simulation, and rapid