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? Click here - https://www.youtube.com/watch?v=NSCE5T17r0Q Sign-On Bonus of $12,500 to Eligible Applicant Performs highly specialized and complex testing that involves the microscopic screening and
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systems, and relationship between microstructure and rheology in complex fluids. Further information may be obtained from: Theyencheri NARAYANAN (tel.: +33 (0)4 76 88 21 21, email: narayan@esrf.fr
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-principles, network-based framework for plant water and carbon transport under climate extremes. The successful candidate will work at the interface of plant physiology, fluid mechanics, network theory
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or adhesion applications (maximum 3 points). 5. Proven experience in laboratory experimental techniques related to rheologically complex materials or structured fluids (maximum 2 points). Additional comments In
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changes), Computer Science and Informatics (Numerical Analysis; simulation, optimization and modelling tools; Computational Fluid Dynamics (CFD)), Product and Processes Engineering (Space Engineering
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acoustic discretion of surface vessels and submarines. They will also collaborate with the IEMN to design the prototype and the experimental protocol to be tested in heavy fluid Where to apply Website https
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, fluid mechanics, reactive flows, as well as solid mechanics plays a central role. In particular, improved understanding of turbulent, reactive, and multiphase flows together with material sciences and
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 20 days ago
Materials Science and possess in-depth knowledge of mineral chemistry and ceramic processing. Advanced proficiency in Python programming is also required. Knowledge of complex fluid rheology is recommended. A
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, Chemistry , Coherent Phenomena , Cold Atom Physics , Cold Atoms and Molecules , Cold QCD Group , collider physics , Collinear Fast Beam Laser Spectroscopy , Complex Quantum Systems , Computational Materials
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Your Job: In this position, you will be an active member of the SDL “Fluids & Solids Engineering” and will collaborate strongly with the SDL “Applied Machine Learning”. You will have the following