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of agentic AI systems, agile accelerated computing and next-generation Radio Access Networks (5G/6G), and who have the ability to lead innovative projects and shape new research directions. The successful
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of the energy sector, aligned with the principles of Industry 4.0 and the RAMI4.0 reference model, through a collaborative and interoperable solution based on Multi-agent Systems and Asset Administration Shells
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information about equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience 3 yrs Required License/Registration/Certification None Physical Requirements The essential job
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and economy that respect people and their environment. We are looking for our future postdoctoral researcher in model-based reinforcement learning to join the Computer Science and Networks (INFRES
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the official Campus France website: https://www.campusfrance.org/fr/le-programme-de-bourses-france-excellen… The candidate must have a foreign nationality (French nationals are not eligible) and must not be
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positions as directed by supervisor, based on the guidelines of the JHU Apprenticeship program. Works with the Carpentry Shop Maintenance Workers to requisition in-house stock items. Requests non-stock items
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authorities, Sponsors and cooperative groups as directed by the ACC CRU Research Team Program Manager. Be actively involved in planning and implementation of patient recruitment into studies (involves deciding
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computable general equilibrium modeling, led by five team members. The first three pillars concern the development of computational agent-based models to explore three different channels of risk propagation
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The Comparative Bioscience Center provides a comprehensive program of animal care in support of the University's in vivo research. The goal of our staff is to provide investigators with the highest level of
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doctoral programme.; - Solid knowledge of modelling/simulation, optimisation/OR and ML.; - Proficiency in Python and good mathematical foundations.; - Experience with Pyomo/OR-Tools and agent-based