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to evolve into a world class research university with strong Chinese cultural influence. It is committed to nurturing high-end talent with global perspective, Chinese tradition and social responsibility
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. The performance of such batteries hinges on the solid booster formulation, morphology, and the efficiency of charge transfer between mediator and solid under continuous flow. Your tasks Your task is to develop
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despite having normal or near-normal audiometric hearing thresholds. The successful candidate will contribute to all aspects of a multisite clinical research program designed to evaluate the impact of low
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Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description
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with single-cell sequencing data and preferentially with spatial omics Working in high-performance computing environments is highly preferred Good understanding of cancer biology, immunology, cell
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) synchrotron located at the Paul Scherrer Institute (PSI). You will be a core member of the SNSF Starting Grant project NEXUS-3D, working at the intersection of applied physics, high-performance computing, and
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that strives for a consistent level of high achievement in all of its activities. The Department offers full diagnostic services in all areas of Laboratory Medicine and Pathology, is a top ranked research
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genetics. Our research program uses integrative genomics approaches to define the molecular mechanisms by which genetic variation shapes endothelial cell biology and confers risk for coronary artery disease
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including hardware in the loop, and relevant industrial case studies, assessing its robustness and computational performance. Collaborate with researchers and industrial partners, contribute
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 19 days ago
proficiency in scientific programming (Python or R) and deep learning frameworks (PyTorch or TensorFlow) is recommended, alongside experience processing large spatial datasets using cloud or high-performance