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general anti-discriminatory understanding and the willingness to further improve these skills Desired qualifications knowledge of image or signal processing, spectral analysis and linking scientific data
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similar skills and experience PhD in one of the above mentioned topics Excellent knowledge in application of synchrotron radiation in terms of diffraction, scattering and/or related imaging techniques
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and Experience Requirements PhD degree or equivalent in Electrical or Computer Engineering or a related area. Three to five years of teaching and/or industry related experience in the fields
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to de-risk high magnetic field operation of HTS. The prototype HTS cable and coil module will be tested in a background magnetic field test facility in PPPL. The job involves conductor characterization
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The University of Nevada, Reno (UNR) appreciates your interest in employment at our growing institution. We want your application process to go smoothly and quickly. Final applications must be
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teaching, research, service, and strategic goals. The department chair is charged with seeing the big picture: looking at the department as a whole and at the department's relationship to the School and
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conditions. More information about the department is available at: https://www.umu.se/en/department-of-computing-science/ The department's research on responsible and human-centred artificial intelligence
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BBSRC Yorkshire Bioscience DLA Programme: Neuronal compensation for natural circuit perturbations School of Biosciences PhD Research Project Competition Funded Students Worldwide Dr Andrew Lin
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Commissariat à l'Energie Atomique et aux Energies Alternatives - Groupe | Gif sur Yvette, le de France | France | 3 months ago
hardness, point defects, HAXPES, extreme environments Location: Laboratory for the Study of NanoStructures and Surface Imaging (LENSIS) at CEA Saclay, France Type of contract: PhD offer, expected start date
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fast, efficient, and versatile reconfigurable thermal landscapes controlled by light polarisation, power and illumination patterns (https://dx.doi.org/10.1039/C9NR01628G, https://doi.org/10.1103