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(PINNs) and surrogate modelling Time-series modelling and anomaly detection Bayesian methods and uncertainty quantification Graph Neural Networks (GNNs) Spatiotemporal data engineering Digital twins and
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Computational Postdoctoral Fellow (Quantitative Modeling Group) - 106785 Division: BE-Biological Systems & Engineering Berkeley Lab’s (LBNL, https://www.lbl.gov/) Biological Systems and Engineering
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? Not funded by a EU programme Reference Number AE2026-0206 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt
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, simulation, and data-driven methods to support secure, reliable, affordable, and sustainable power systems under deep decarbonisation, increasing renewable uncertainty, and the growing participation
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used in connection with models for clinical coding. BINDING LEGISLATION Law 40/2004 of 18th of August (Scientific Research Fellow Status) in its current wording. https://www.fct.pt/wp-content/uploads
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of reactor transients and quantify how surrogate uncertainties propagate through system safety analysis of nuclear installations, using tools such as open simulations platforms. This research will be part of a
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Law 40/2004 of 18th of August (Scientific Research Fellow Status) in its current wording. https://diariodarepublica.pt/dr/legislacao-consolidada/lei/2004-58216179 Regulations for Research Grants
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Description The Teamcore Group (https://teamcore.seas.harvard.edu) at the John A. Paulson School of Engineering and Applied Sciences (SEAS) at Harvard University seeks postdoctoral fellows to work on AI
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. These missions operate in uncertain and dynamic environments where communication delays, sensor uncertainties, and spacecraft faults can significantly affect mission safety and reliability. The project aims
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Position overview Position title: Moore Postdoctoral Fellow Salary range: A reasonable salary range estimate for this position is $69,073 - $71,632. The posted UC academic salary scales (https