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evolutionary). The project aims to approximate a Boltzmann distribution associated with an objective function that is difficult to optimize in order to solve complex optimization problems. This probabilistic
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delivery research, clinical practice change and mixed-method implementation science. This role provides advanced research training to support development of an independent research career. The fellow
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 14 days ago
. The project will initially focus on the Grenoble metropolitan area, with the objective of developing methods that are scalable and transferable to other regions at the international level. This position is part
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We are seeking to recruit a 2-year postdoctoral researcher within Human-Computer Interaction to work on the interdisciplinary project DARES: Data Quality for Responsible AI in Energy Systems funded
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QUALIFICATIONS: • PhD in Electrical and Computer Engineering, Mechanical Engineering, Physics, or a closely related field. • Demonstrated expertise in MEMS/NEMS design and modeling, including finite element
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 4 hours ago
medium. Methods of investigation may include analyses of archival multi-wavelength observations from space- and ground-based facilities, as well as new observations and analyses. Additional interests
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that makes that reuse possible at scale — not just once, but sustainably, across the research community? The Davis and Krishnan labs work at the intersection of these questions. We develop ML/AI methods and
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of Barcelona; Particle Physics Phenomenology group. Main responsibilities / tasks: 1. Develop anomaly detection methods using Machine Learning and Simulation-Based Inference for high-dimensional parameter spaces
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evaluating the effectiveness of various recharge methods. A specific focus of this component is understanding subsurface structures that can facilitate focused recharge (e.g. sinkholes, losing/gaining streams
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developments in agentic AI. This means that you are expected to stay up to date with research on LLM-based agents, prompting methods, fine-tuning strategies, and multi-agent systems, and to assess how