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data from measurement and observation networks, as well as snow testing protocols, to provide access to a larger, harmonized information system on both sides of the border; Mutual training and
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mining waste deposits (MATs). This project integrates mineralogical and mechanical characterization, pilot-scale testing, and advanced process simulation, with the objective of optimizing grinding
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scale. Test methods for calibration corrections and noise reduction in retrieved data. Test algorithms for retrieval of sea surface temperatures from infrared radiances. Test algorithms for cloud masking
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help develop and characterise advanced patient-derived tumour models and use them to test promising therapeutic targets that exploit vulnerabilities caused by loss of the SMARCB1 gene. This role offers
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of extremes, examine causal chains linking meteorological and hydrological extremes and their impacts, and develop novel storyline based methods to enhance knowledge and communication for adapting to compound
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. This position offers a unique opportunity to contribute to ongoing projects on movement biomechanics, 3D printing, mixed reality, and mechanical testing and drive the future of this program through
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of squares hierarchies to prove positivity of holonomic functions - Scientific article writing - Attending conferences - Software programming LAAS CNRS Where to apply Website https://emploi.cnrs.fr/Candidat
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-state batteries. Perform materials synthesis, characterization, and device fabrication process Interpret test data to enhance device performance Optimize device design based on test results and
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reactor testing and characterization of heterogeneous catalysts. Experience with magnetic induction heating systems and collaborating with theoretical/computational catalysis researchers Knowledge/Skills
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partners in industry to develop the next generation of our in-situ sensing technologies to investigate carbon cycling in deep sea environments. Specific tasks may include but are not limited to: Testing