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Your Job: This PhD project develops a Bayesian inference framework for hybrid model- and data-driven modeling of metabolism, with a particular focus on handling model misspecification. By combining
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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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related to models and multiple sources of data describing ecological dynamics. The PhD project will address the following aims: 1) Develop efficient tools for learning about models from data, 2
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modeling. Positions may begin as soon as September 2025 . A Ph.D. in Mechanical and Aerospace Engineering, Civil and Environmental Engineering, Atmospheric and Oceanic Sciences, Geosciences, Computational
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Federated learning (FL) is an emerging machine learning paradium to enable distributed clients (e.g., mobile devices) to jointly train a machine learning model without pooling their raw data into a
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the University of Nebraska to change lives. Connections working at University of Nebraska Lincoln More Jobs from This Employer https://main.hercjobs.org/jobs/22026768/manager-biophysical-model-design-temporary
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continuum within the 2nd phase of CLICCS (https://www.cliccs.uni-hamburg.de/about-cliccs/cliccs-ll.html). In CLICCS-M4, we are further developing the unique ICON-Coast model within the ICON Earth System
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field modeling of brittle fracture: Part I—Theory and simulations, Journal of the Mechanics and Physics of Solids, Volume 121, 2018, Pages 81-98, https://doi.org/10.1016/j.jmps.2018.07.010. [2] Lamia
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well as related subjects (DAAD) Intensive German language course (including accommodation and pocket money) for up to 6 months. Exception for scholarship holders according to Model 3b) an 4b), who do not take a
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worthiness of autonomous vehicles cyber risk management, advanced threat intelligence secure-by-design for IoT and policy governance of cybersecurity For more details, please view https://www.ntu.edu.sg/cysren