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processes. Previous experience with data assimilation and numerical modeling will be regarded as positive in the selection process. Experience in automated processing of large data volumes. Experience with
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or amyloid research, with a strong background in optical spectroscopy and microscopy. Expertise in in vivo models (e.g. C. elegans, mouse) of the above-mentioned areas is highly desirable. The terms
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are motivated to contribute to innovative research at the intersection of modelling, materials science, and high-temperature processes. Experience with high-temperature experiments, numerical modelling
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and physicists, supported by European funding (ERC-Synergy). Modelling of cell migration in 3D without adhesion Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR168-KHEDIN-017
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results, numerical modelling, and analytical approaches to support the development of respective reliable and efficient design concepts. Led by Prof. Christoph Odenbreit, the ArcelorMittal Chair of Steel
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 15 days ago
and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special rates on select campus events. UNC-Chapel Hill offers full-time
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 24 hours ago
wide range of professional training opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts
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, scientific programming, microfluidics, or microfabrication would be an asset. Theoretical or numerical knowledge of fluid mechanics would also be appreciated. Where to apply Website https://emploi.cnrs.fr
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at the Laplace laboratory, where numerical and analytical models are being developed to predict plasma potential control and flux entrainment from polarized electrodes. During the third year of the thesis project
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++, or Julia, with strong numerical modeling, data analysis, and reproducible code development skills; experience with Git-based workflows and AI or ML for science is a plus. Experience designing and executing