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matrices only model networks with one kind of objects or relations between the objects. Many real world networks have a multidimensional nature such as networks that contain multiple connections
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-month term. Essential Duties and Responsibilities: Develop methods to co-analyze multiple datasets using machine learning methods Apply novel methodologies to quantum materials to better understand
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Postdoc position to support international research and capacity-building projects employing elect...
. Participation in fieldwork campaigns in Ethiopia multiple times per year (typically 2–3 weeks per trip), assisting with survey planning, deployment, and data collection. Contribution to the development
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organisational skills and the ability to manage multiple parallel workstreams Excellent written and verbal communication skills, including the ability to collaborate across multidisciplinary teams A proactive
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Theoretical Physics or a related discipline completed within the last 5 years. Experience with High Performance Computing and programming for massively parallel computers. Experience with quantum many-body
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institute is expanding this approach to detect a wider range of biological molecules, including volatiles in human breath. In parallel, the Institute is developing state-of-the-art methods that integrate
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, parallel storage systems and scientific data management. Recent research project details and outcomes can be found in computer systems conference proceedings, such as HPCA, FAST, SC, DSN, HPDC, IPDPS, and
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, parallel storage systems and scientific data management. Recent research project details and outcomes can be found in computer systems conference proceedings, such as HPCA, FAST, SC, DSN, HPDC, IPDPS, and
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. Demonstrated experience developing and running computational tools for high-performance computing environment, including distributed parallelism for GPUs. Demonstrated experience in common scientific programming
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leading peer-reviewed journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources. Collaboration with domain scientists for demonstration