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Detection: Develop and implement algorithms for identifying oscillations in the grid and extracting important oscillation modes (frequency, damping, etc.). System Strength Analysis: Use system metrics like
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this role you will work on some of the most challenging scientific problems facing the Department of Energy, creating new algorithms, tools, and technologies to facilitate knowledge discovery. The rate of
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software Writing reports and research articles where you will be co-author. Your qualities You hold a PhD (or are close to submission, or have recently submitted) in statistics, data science, or a related
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to involve the postdoctoral researcher in the supervision of a PhD-candidate, and we encourage and facilitate publishing and attracting research funding beyond the involvement in PERSIST. In short, we try to
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hold or be close to completion of a relevant PhD/DPhil, together with experience of research on Tibetan History; experience and skills in the translation of classical Tibetan, as used in administrative
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single-cell sequencing, spatial transcriptomics, and machine learning algorithms to to understand, at the tissue and organ level, how specific cellular communications—from synaptic connectivity to neural
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NSF funded projects, advancing the knowledge about distributed systems, developing novel algorithms for distributed resource and workload management, simulating and emulating systems, as
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and glycan-based vaccines. Undergraduate and PhD research projects can be integrated into the projects, and you are expected to interact with and co-supervise those projects. Additionally, some teaching
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you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD degree (completed or in the final stages) in sociology, social policy
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research programme at Oxford. Candidates should hold a PhD in biomedical engineering, computer science, medical physics, statistics, or a related field. A strong track record of first-/senior or co-author