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of ideas and behaviors in the Upper Paleolithic. Statistical Network Analysis for the Techno-Stylistic Study of Paleolithic Portable Art During the Magdalenian period (21–14,000 BP), human communities
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to qualify (which is 2 years) Highly skilled in numerical modelling and programming is essential Experience with at least two of the following disciplines is expected: o hydrological and/or land surface models
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solution for the future of maritime decarbonisation. Your work tasks The research assistant will be involved in high-fidelity numerical modelling and a comprehensive analysis campaign of flexible power
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experimental data acquisition system (LabView, etc.) and programming skills (Python, etc.) for data analysis would be a plus. Familiarity of cryogenics is not necessary. Intrinsic orientation for research and
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formation and evolution; (c) computational astrophysics; (d) analysis of numerical simulations and large datasets. Candidates should demonstrate solid programming skills (e.g., Python, C/C++, or similar
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mathematics, numerical oriented geosciences, or related field with strong quantitative focus; Strong background in machine learning methods such as neural networks and transformers; Knowledge on handling large
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months 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 2 months 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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experimental datasets produced by the accompanying PhD project on thermo-hydraulic experiments. This close collaboration provides a unique opportunity to connect experimental and numerical research within one
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analysis, together with technical support and training opportunities. Additional computational resources are available through the Scientific Center for Numerical Modeling (PSMN) at ENS de Lyon, which