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Field
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public service. Job Description The Research Assistant will support the development and implementation of machine learning algorithms for cyber-physical attack detection in electric power systems
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development for both data analysis and machine learning applications, including data modeling and algorithm development and implementation. Software design, development, and testing to support research and
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or engineering sciences including computer science, electrical engineering, or related discipline. Proficiency working with data algorithms (regression, probability, statistics). Experience with machine learning
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the PORTUGAL2030 Programme, under the following conditions: Work Plan and Objectives to Reach: The work to be carried out aims at the research and development of Computer Vision and Machine/Deep Learning algorithms
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intelligence (AI), and high-performance computing (HPC), as well as quantum-inspired algorithms and quantum machine learning (QML). Responsibilities: Lead and contribute to applied quantum computing research
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research activity is aimed at investigating
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) Established Researcher (R3) Application Deadline 26 Aug 2026 - 13:00 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme
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learning algorithm that leverages information contained in low-amplitude gravity perturbations (coined PEGS for Prompt Elasto-Gravity Signals, Vallée et al., 2017) to provide rapid unsaturated magnitude
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discrimination in hiring or promotion? Why is racial inequality so persistent across organizations from firms to schools and even the government? Does the use of big data and algorithms produce more objective
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research across a wide range of disciplines including mathematics, the sciences and computer science, with an emphasis on the theoretical foundation of machine learning, new algorithms and AI for Science