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aspect of this position is that the faculty member will actively collaborate with the SJSU Wildfire Interdisciplinary Research Center (WIRC, https://www.sjsu.edu/wildfire/, a National Science Foundation
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, mathematics, or a related field (PhD is advantageous) Experience with numerical modelling and analysis of large simulation datasets Knowledge of ocean biogeochemistry or Earth System Modelling Strong
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of hydrogen storage systems for energy applications. The postdoctoral researcher will contribute to: Development and implementation of advanced multiphysics numerical models Simulation of sorption phenomena and
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staff members. The Department of Chemistry (https://www.helsinki.fi/en/faculty-science/faculty/chemistry ) at the Faculty of Science carries out research on chemistry and its applications
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must have a Ph.D. in Neuroscience, Psychology, or a closely related discipline and should have the ability to generate a high-quality research program using non-human model systems and a commitment to
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healthcare, The key objective is to spearheadresearch and development to revolutionise patient care and inform public health policies. For more details, please view https://www.ntu.edu.sg/c-aim We are seeking
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Multiphysics Co-Simulation Engineer - KTP Associate (Full Time, Fixed term up to 24 months duration)
regular engagement with the academic supervisory team at Harper Adams University. The Associate will develop and validate physics-based simulation models, write high-performance C++ and Python code
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://www.ing.pan.pl/ksztalcenie/szkola-doktorska-geoplanet ) https://www.ing.pan.pl/en/education/doctoral-school-procedures/translat… It includes, among others: an application to the doctoral school; a copy of the
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: - experience in modelling physical or electrochemical processes - familiarity with numerical simulation methods - enthusiasm for collaborating in an interdisciplinary research team What we offer
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05.07.2026, Academic staff Our research combines mathematical modeling, numerical simulation, scientific computing, and data-driven methodologies to improve the predictive capabilities and