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heavily relies on empirical determination of key model parameters. By combining protein structure descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange
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for a highly motivated PhD candidate to join our world-leading research program in Earth System modelling and improving Earth System Modeling by better merging of measurement data and model simulations
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Your Job: At the Institute for Advanced Simulation – Data Analytics and Machine Learning (IAS-8) we are looking for a PhD student in machine learning to work within a project linked to the
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, biochemical engineering, or other eligible discipline. Candidates must pass a background check in order to access U.S. Army facilities. Preferred skills: Two years of laboratory experience Experience and/or
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the use of large language models to support neural network design and data preprocessing. The position involves close collaboration with experts in cardiovascular simulation and Scientific Machine Learning
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: Annually – Architecture in even years, Law in odd years Value: $500 This Prize was established in 2018 and is funded by Diane Brand and Gregory J Thwaite, graduates of the University of Auckland, in order to
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Midlands Graduate School Doctoral Training Partnership | Leicester, England | United Kingdom | 3 months ago
The Midlands Graduate School is an accredited Economic and Social Research Council (ESRC) Doctoral Training Partnership (DTP). One of 15 such partnerships in the UK, the Midlands Graduate School is
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data sets, which have to be evaluated in order to obtain a holistic understanding of very complex systems. Visit HDS-LEE at: https://www.hds-lee.de/ The position is placed at the Institute for Advanced
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infrastructure. The research will employ a combination of semiconductor device modelling, semiconductor simulation (by imec), electrical/optical characterisation, and system-level simulation of link performance
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modelling and improving Earth System Modeling by better merging of measurement data and model simulations. This PhD project focuses on improving how we estimate key parameters in land-surface and ecosystem