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damage to natural and cultivated plants, which is expected to increase in the future with increasing climate variability (extreme climatic events). The detection of acoustic emissions is a promising way to
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the computerized procedure "PICA - Integrated Platform for University Competitions”, at the address https://pica.cineca.it/login .from the date of the publication of the present Notice of Competition to 23rd
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ranking. You can find more information at the following link: https://www.uc.pt/academicos/graus/reconhecimentos . III.2.3. Autonomous copy (one PDF file per paper) of the 3 to 6 papers that the candidate
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Discover and characterize novel humoral factors and biomarkers involved in the regulation of metabolic homeostasis Utilize advanced quantitative proteomics platforms such as Olink and Simoa technology to
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 4 days ago
the terms of the aforementioned decree. Where to apply Website http://www.i3s.up.pt Requirements Research FieldBiological sciences » OtherEducation LevelPhD or equivalent Additional Information Website
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and orientation, is encouraged to apply for the position. Do you have any questions? If you have any questions about the position, you are more than welcome to contact us. You will find contact persons
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Steatohepatitis (MASH), neurodegenerative disorders, and biostatistics Discover and characterize novel humoral factors and biomarkers involved in the regulation of metabolic homeostasis Utilize advanced
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PhD Position – High-Temperature Electrolysis – from stack design to operational optimizationFull PhD
cells with improved energy and power density, longer lifetime, and maximal safety. Find out more about our mission and future-oriented projects here: https://www.fz-juelich.de/en/iet/iet-1 We
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to Home Office security clearance requirements, applicants will need to have resided in the UK for the last 5-years. You can find further details at https://www.centre-ub.org/studentships/call-for
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or damage. Along these lines, this project develops SHM methods for deep tunnels, with the HADES Underground Research Laboratory (URL) serving as the primary case study. The monitoring strategy combines in