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Sciences, or a closely related discipline. Essential experience includes numerical modelling of thermal or fluid systems, experimental design and data acquisition, and a strong track record of high-quality
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taxonomy of future launchers, and creation of a structured database Modelling and simulation of the most promising rocket engine architectures from a thermodynamic standpoint Numerical and experimental
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: Apply and develop a numerical model in Python for the transport of marine litter particles in coastal areas. Write scientific reports. Perform forecast of particles dispersion. Collaborate in project
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; GIS; environmental data analysis; machine learning; numerical modelling; tracer experiments; dispersion and mixing. DESCRIPTION (topic, expectations, comments): We are seeking a researcher holding a PhD
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proven reputation for cutting-edge research and cultivate a wide range of educational opportunities for trainees and staff. The ideal candidate will be an accomplished leader who models the highest
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 23 minutes ago
opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special
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based on empirical studies and/or model simulations. The candidate should assemble and evaluate quantitative proxy reconstructions, and apply geospatial and/or numerical modeling methods to investigate
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of geophysical data. Integration of geophysical and hydrothermal data and models. Numerical modelling in the context of geothermal studies. Where to apply Website http://www.ub.edu/caiac/solBeca?idConvocatoria
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, ranging from a few meters to several kilometres. The YSYS team relies on field experiments and numerical models of atmospheric flow. YSYS has gained considerable expertise in modelling micrometeorology on a
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in include: 1. How do we engineer cells to turn genes on or off? 2. How do we explore numerous combinations of genetic perturbations in a scalable way? 3. How do we engineer immune recognition