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Project summary: How does exposure to electricity price risk shape the way investors value European companies? Using textual analysis and financial econometrics, this PhD will construct new
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. The fellowship will focus on the damage evolution and formation of fractures in ice sheets. The successful applicant will be part of the research center PRECISE (PREdicting Changes in Ice Sheets on Earth) (https
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Nantes Université, École Centrale Nantes, CNRS, GeM, UMR 6183, Nantes F-44000, France | Nantes, Pays de la Loire | France | 3 days ago
- complementary micro-mechanical tests under a scanning electron microscope (SEM) to observe damage and ion diffusion in situ at the micro/nanoscale. Position details Salary: about 2300€ gross per month Contract
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cavitation damage scenarios (particularly in the context of hydroelectric power generation). The methodology will be based on a non-intrusive ultrasonic method for detecting cavitation, using acoustic signal
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to students to connect them to campus resources to promote their retention. Facilitates engagement activities and advocates for students in matters related to academic notice, subject to dismissal, and/or
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Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description NOTICE OF THE OPENING OF AN INTERNATIONAL SELECTION PROCEDURE
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the language requirements defined in points III.2. and III.3. of this Public Notice, must be duly substantiated, in a separate document presented by the candidates, under the terms of point III.1. of the Notice
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: 179883 The University of Chicago's Department of Medicine, Section of General Internal Medicine, is seeking part-time Clinical Associates at 10% effort for renewable terms up to three years to join an
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. 2 An excellent employment package with generous terms and conditions including 41 days of leave for full time staff, pension - pensions handbook https://www.gla.ac.uk/myglasgow/payandpensions/pensions
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Area: Computer Vision Group: Pattern and Image Analysis Work Objectives: In terms of deep learning architectures for object detection, particular attention will be given to the analysis of performance