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grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Dr Yingzhen Li (https://yingzhenli.net ) and her research group
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working experiences, and professional mentorship and support. The postdoctoral associate will be affiliated with the Center for Avian Population Studies (CAPS, https://www.birds.cornell.edu/home/center
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of the intense rainfall that causes these floods, forecasts still show significant uncertainties, even for very short forecast horizons (of less than 6 hours). This PhD project aims to study how these forecast
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(Scientific Research Fellow Status) in its current wording. https://www.fct.pt/wp-content/uploads/2026/01/RBi_Republicado_2025.pdf Regulations for Research Grants of the Foundation for Science and Technology in
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with limited communication, sensing and power. The role also includes validating these methods through simulations and physical robot experiments. The development of uncertainty aware methods, such as
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in the development of mathematical models or numerical methods in partial differential equations, in connection with uncertainty or data science. Specific fields of interest include, but are not
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for outstanding scientists who are active in the development of mathematical models or numerical methods in partial differential equations, in connection with uncertainty or data science. Specific fields
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of uncertainty in reward-guided decision-making. 2024.03.27.587016 Preprint at https://doi.org/10.1101/2024.03.27.587016 (2024). 6. Walker, E. Y. et al. Studying the neural representations of uncertainty. Nat
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simplification. Particular attention will be paid to uncertainty quantification and to the definition of criteria that assess the contribution of each simulation to the improvement of the prediction
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to illuminate the uncertainties around economies of scale for production and logistics of fuels. Currently there is high uncertainty surrounding the decarbonisation options for energy sectors where molecules