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experimental methods are available and currently fully operational in the laboratory. Collaborative Environment: Centrifugal instabilities are not limited to magnetized plasma columns in the laboratory but also
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 2 months ago
15 Jul 2026 Job Information Organisation/Company Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial Department Human Resources Research Field Engineering » Computer
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Inria, the French national research institute for the digital sciences | Saclay, le de France | France | 2 months ago
Contract. General Positioning Artificial intelligence (AI) began revolutionizing digital services in 2013 with its application to image processing and computer vision. A second revolution arrived around 2020
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on ultrafast chirality and attosecond electron dynamics, aiming to develop new methods for probing and controlling chiral light–matter interactions with applications in photonics, biosensing, and materials
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> Familiarity with classical statistical methods and knows when and how to apply them in a rigorous fashion; Easily learns how to apply new statistical methods; will seek out and learn new methods to better solve
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PM. SCHEDULE OF FUNCTIONS FOR THE HIRING OF RESEARCH STAFF UNDER RESEARCH AND STRATEGIC LINES ESTIMATED TIME FOR THE EXECUTION OF FUNCTIONS: 2 years Experimental research and technical implementation
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methods for multimodal and longitudinal patient modelling • Build and evaluate foundation models on large-scale clinical datasets • Work with radiology, pathology, genomics, laboratory, and clinical text
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sustainability assessment to develop next-generation tools and methods that inform decision-making and support the development of safe and sustainable products and policies. This PhD position is embedded in
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how fluid dynamics can be simulated on quantum computers by designing novel quantum algorithms, implementing software, and evaluating their performance on quantum computer simulators and potentially
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analysis team, contributing to data generation, processing, and delivery. The project will address key challenges such as advanced backscatter mitigation, improved scale factor estimation, and advanced post