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Field
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, United States of America [map ] Subject Areas: Cosmology/Particle Astrophysics Astrophysics / Astrophysics and Gravitational Physics , Black holes , Computational Astrophysics , Cosmology , Dark Matter Appl Deadline: 2025
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bosons, and searches for new physics beyond the Standard Model. The group has a long-standing history of contributions to the development and calibration of b-tagging for long-lived particles, large-R jet
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Lawrence Berkeley National Laboratory - Physics | Berkeley, California | United States | about 5 hours ago
Experimental Particle Physics and Cosmology. The Fellowship is named after Berkeley Nobel Laureate Owen Chamberlain, who, together with Emilio Segrè, Clyde Wiegand, and Thomas Ypsilantis, discovered the anti
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which will quantify and develop a mechanistic understanding of how environmental controls drive fine sediment impacts for freshwater biota. Fine sediment (typically defined as particles <2mm) deposition
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formulation development and product optimization. Ability to design and evaluate the performance of unit operations. Experience in physicochemical characterization techniques (rheology, particle size analysis
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of field studies and cultivation and growth of plants/ fruits, and filter construction and maintenance as related to the research project. Participant will learn about scientific and laboratory setup
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development of next-generation computational tools for simulating particle-laden two-phase flows by integrating advanced Artificial Intelligence (AI) techniques with traditional computational fluid dynamics
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for high frequency applications with our research team and our collaborators. The roles of this position include: Carbon Nanotubes growth, transfer and characterization Waveguide/filters/lens device
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North Atlantic atmosphere (ANAA). As part of this research, SEANA studies the sources and processes of aerosol particles, including from primary sources such as shipping or ocean, and formation
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 20 days ago
, with application to biomedical flows (e.g. microcirculation) it is now intended to develop an improved algorithm for advanced particle tracking using machine learning. The algorithm should be tested in