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Field
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manufacturing datasets, including sensor streams, in-process signals, post-process characterization data, simulation outputs, and digital twin data. Develop, integrate, and evaluate AI/ML models for anomaly
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to advance our understanding of black holes, their environments, and their extragalactic jets.The successful candidate will work with Prof. Chael’s group to advance theoretical models and simulations of black
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Position Description Post-doc position (1,5 years) at University of Dubrovnik, within Conduction (Optimal control and model reduction for evolution and data driven problems) project and aligned
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research associate to advance the analysis, quality assurance, and calibration of automated pavement condition data and pavement performance modeling. The successful candidate will contribute to two
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scholarly journal articles and then leveraging professional networks to obtain a copy, or by going to web-scale search engines or AI to find what has made it to the open web. At Yale, we envision a different
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. • Experience in population-based research and statistical modeling, including regression and longitudinal or mixed-effects methods. • Strong publication record and scientific writing skills. • Proficiency in
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work and adherence to norms, and in the organisation of local religious life. Through this analytical framework, the project aims to identify a distinct East Central European model of parish politics, in
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at advancing hydrology and water quality assessment across Florida. In this role, you will contribute to the development of a comprehensive watershed system model that simulates both natural processes and human
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materials such as anisotropic, hyperbolic, epsilon-near-zero, dispersive, lossy or active media. The successful candidate will develop analytical models and numerical tools, generate original research
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(i) strong foundations in digital communications and statistical signal processing with (ii) hands-on implementation using reinforcement learning (including multi-agent RL), large language models (LLMs