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, community projects, and the international ICON consortium. As part of this work, C2SM installs, deploys, and maintains software stacks for high-performance computing (HPC) applications and is responsible
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experience with genomic data analysis on a high-performance computing cluster, along with strong communication skills, is desirable. Profile Research interest in statistical genomics, computational biology
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fully funded, full-time PhD position focused on the development of novel, energy-dense materials for asynchronous storage and dispatch of high-quality heat. The position is expected to start on 1 August
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Addressing challenges related to high-dimensional parameter spaces and complex performance criteria commonly encountered in RBDO Developing robust computational workflows for optimizing designs while
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to replace petroleum-based additives with high-performance, renewable alternatives. If you're passionate about materials innovation and want to make a real-world impact, this role is for you. Job
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contribute to the development and optimization of the training pipelines for these large-scale models, working at the intersection of cutting-edge research and high-performance computing to advance
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. Experience with running numerical models is an advantage. Experience in working in a Linux/Unix high-performance computing environment is a plus. Good communication skills in English (written and spoken
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80%-100%, Lugano, permanent The Swiss National Supercomputing Centre (CSCS) develops and operates cutting-edge, high-performance computing (HPC) systems as an essential service facility for science
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and software for high-throughput retinal recordings, to conduct the respective measurements, as well as to further develop the data-evaluation and signal-analysis pipeline. The work will be performed in
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bioinformatics-related images for computational pipelines. Evaluate and procure compute resources for High-Performance Computing (HPC) platforms, managing access. Write automation scripts (e.g., Python