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Field
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Material Data Sheets and safety files. • Adjust, calibrate, and perform minor repairs on equipment used in the laboratory. • Become familiar with the assigned literature, attend weekly lab meetings
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. The project activities will involve the development of the theory and implementation of the advanced mechanics and numerical models as well as constitutive model calibration and validation based on physical
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and calibration of reports from various sources. Collect and analyse large-scale cross-industry accident data using FRAM (Functional Resonance Analysis Method) within LLMs to identify human-, technical
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
techniques and approaches to difference image analysis, survey-scale photometric calibration and detrending, periodicity searches, and/or other areas. A negotiable fraction of this role is reserved
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
techniques and approaches to difference image analysis, survey-scale photometric calibration and detrending, periodicity searches, and/or other areas. A negotiable fraction of this role is reserved
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detector characterization and calibration efforts. We seek candidates across a broad range of disciplines. Expertise related to astrophysics, modeling and data analysis is desirable. Most importantly
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-fidelity qubits operations Design and implementantion of automatic calibration techniques for fast tune-up Implementation and benchmarking of quantum algorithms About you You have a relevant PhD deegree
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and galaxy clustering calibration and measurement pipeline ahead of the Roman launch in late 2026, while taking advantage of early LSST data and existing Dark Energy Survey data for science analyses
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to supervise and mentor student researchers (under-represented minority) and assist with routine calibration and maintenance of laboratory equipment. Duties and Responsibilities: · Perform complex field and
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testing experience can be valuable. Statistics and Mathematics: Machine learning (supervised and unsupervised) methodology and evaluation including discrimination vs. calibration measures and (hyper