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Simulation & Data Processing: Use and extension of Allpix2 and TCAD-based simulation tools. Generation of large simulation datasets for algorithm training and validation. Integration of simulation with
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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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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 9 hours ago
) instruments into the GEOS model for its near-real-time aerosol forecast known as the GEOS Forward Processing (GEOS-FP) system as well as in its various reanalysis systems (e.g. Modern-Era Retrospective Analysis
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analytical models and simulations to characterize the selective regimes, including polygenic selection, acting on genetic variants associated with complex diseases • Actively contribute to the writing
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duties of the post include: Conduct in-depth simulations and analysis to model and understand the performance of the Diamond-II accelerators for both single and multi-particle effects; develop and apply
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of coastal zones, calling for a better understanding of underlying processes and the development of adaptation solutions. In the scope of the research projects La Rochelle Territoire Zéro Carbone 2040 (LRTZC
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 1 day ago
cumbersome and costly, process-based (mechanistic) modeling has emerged as an effective alternative. However, many standard Process-Based crop Models (PBM) including STICS or DSSAT were initially built
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process technologies using tools such as Cadence. Strong background in design and simulation of spiking neuromorphic architectures including encoding schemes, training/learning approaches, and physical
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predict the location of resources more accurately, it is necessary to model these processes jointly at the basin scale. However, directly solving geochemical equations is computationally expensive and
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in R, Python, GIS, or other platforms. Expertise in study design, data collection, and qualitative and quantitative analysis and modelling relevant to understanding ecological processes. Other