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NIST only participates in the February and August reviews. Calphad-type models have been successfully employed to describe composition-dependent diffusion mobilities in a variety of disordered
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: Applications accepted all year round Details Data assimilation combines physical models with experimental or numerical data to produce dynamically consistent flow reconstructions. In turbulence, where full
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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Research Associate positions currently available at the University of Idaho in the Institute for Modeling Collaboration and Innovation (IMCI). These postdoctoral researchers will contribute to our modeling
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Modelling Neutrino Interactions for Next Generation Neutrino Experiments School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Patrick Stowell, Dr Rhiannon Jones
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the preparation of a doctorate, contains: Hydrogeologists use numerical groundwater flow models for predicting impacts of climate change and pumping on groundwater and understanding and quantifying groundwater
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computation methods. Identify important modelling parameters for the digital model. Create a digital model of the wind turbine whilst having the important modelling parameters variable. Develop methodologies
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 5 days ago
context of the project: The Laser Powder Bed Fusion (LPBF) process is currently at the peak of its industrial development, thanks to its ability to produce complex geometries. However, a number of known
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of Robotics and Industrial Informatics (CSIC-UPC) offer a position to work on World Models for Human Behaviour Anticipation https://ramonllull-aira.eu/archivos/theme_field/world-models-for-human-behaviour
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to wake development. Boundary conditions to the CFD model will be further developed to analyse the impact of meso-scale variation of the flow occurring over much larger spatial scales than the turbine array