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This is a theoretical/computational postdoctoral position for the prediction and development of point defects in two-dimensional materials for applications in quantum technologies. Project
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have a postgraduate degree, ideally a doctoral degree, in a relevant field and experience in computer-based analyses and presentation of experimental data. The successful applicant would have a proven
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, and Myanmar. The Research Fellow will serve as the key point of contact with our research partners and will be responsible for project management across several workstreams, while also contributing
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This is a theoretical/computational postdoctoral position for the prediction and development of point defects in two-dimensional materials for applications in quantum technologies. Project
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: Develop novel machine learning theories and techniques for analyzing noisy time-series data, with a particular focus on seismic signals Perform uncertainty quantification in time-series analysis to assess
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The application process opened on Tuesday, July 15, 2025. The application deadline is Monday, October 20, 2025 at 11:59 p.m. Eastern Time. Late applications will not advance to the next round of review. Applicant
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communication skills Commitment to mentoring graduate and undergraduate students Desirable (but not required): Experience with time-series QA datasets (e.g., Time-MQA, TSQA, MTBench) Background in signal processing
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have a postgraduate degree, ideally a doctoral degree, in a relevant field and experience in computer-based analyses and presentation of experimental data. The successful applicant would have a proven
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Program Website . After reading, if you have additional questions about the application process, please email ORISE.ARS.Midwest@orau.org and include the reference code for this opportunity. Qualifications
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PhD Research Fellow in Chemistry-focus on Experiments in Chemical Kinetics and Heterogeneous Catalys
description The transition from a fossil-based to a circular production of consumer goods requires the development of new chemical processes, especially for the energy-efficient and sustainable conversion