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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 hours ago
. Project Goals and Objectives The primary goal of this project is to design, develop, and validate a unified wildfire risk index that provides a comprehensive and dynamic assessment of wildfire potential
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in both lithium and sodium batteries. The goal is to understand how different design and material choices link to structure, dynamics and performance. A special focus is on solvent-free electrolytes
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description The position is ideally suited for candidates with interests in Arctic ecology, movement ecology, population dynamics, and ecological modelling. As part of the position, you will be: co-developing a
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of tomorrow and creating novel solutions to major global challenges. Our community is made up of 120 nationalities, 14 000 students, 400 professors and close to 5000 faculty and staff working on our dynamic
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Description The Sleegers lab at the VIB-UAntwerp Center for Molecular Neurology Belgium, is seeking a highly motivated and talented postdoctoral researcher to work in the field of molecular and
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connected large wind energy system dynamic modelling, control and analysis. In particular, the objective of this research programme is to lay the foundations of a new, model and methodology for Advanced wind
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14 Nov 2025 Job Information Organisation/Company CNRS Department Institut de Chimie de Clermont-Ferrand Research Field Chemistry » Physical chemistry Chemistry » Computational chemistry Researcher
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for a Postdoctoral Associate in the Division of Social Science at NYU Abu Dhabi from individuals who have or will soon receive a PhD in Economics focusing on firm dynamics, structural transformation
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computational fluid dynamics modelling of water treatment and desalination processes is an advantage. Willingness to work within a multidisciplinary group. Demonstrated skills in scientific writing in the form
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valued. · Knowledge of chemical reactions and how to model them through computer simulations is highly valued. · Knowledge of classical molecular dynamics, including Machine Learning Interatomic Potentials