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particular, we value academic excellence and/or a proven record of scientific achievement, combined with the ability to develop original ideas, build high-performance experimental setups, demonstrate
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groups. This may draw, among other areas, on research in computational history and work with large-scale textual, bibliographic, and cultural heritage data using AI, high-performance computing, and
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biology is not required good written and spoken English Experience with PDE-based simulations, finite element methods, high-performance computing or deep-learning frameworks (e.g. PyTorch, JAX) is an
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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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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