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combination of geophysical, geological, and petrophysical data with advanced data processing techniques, including multi-component elastic full-waveform inversion, AVO inversion and machine learning, will be
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project, particularly the Digital Planet activity which supports the analysis of large-scale data from a variety of sources. This data analysis can include using distributed machine learning techniques
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of operations research methods or machine learning for the analysis and solution of problems in the field of operations management. The research assistant will in particular support research in the field
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4 Jun 2024 Job Information Organisation/Company INESC ID Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Country Portugal Application Deadline 20 Jun
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, CAN Communication Protocol, Machine Learning, AI, Sensor Networks, Hierarchical Decision and Control Systems with main focus on manufacturing and autonomous systems (1 to 5 points); C. Knowledge
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for feature extraction, which can serve as parameters in simulation. Alternatively, machine learning methods can be employed for comparison with the primary analysis-based approach. The objectives of this PhD
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, development of Machine Learning models for cybersecurity, SPARQL, structured text formats (YAML, Markdown), Linux and Android environments, REST frameworks; - Fluency of both Portuguese and English. Candidates
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solutions. The research will navigate the complexities of adversarial machine learning attacks and defenses, formulate robustness metrics, and emphasise the challenges of large language models (LLMs
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solutions. The research will navigate the complexities of adversarial machine learning attacks and defenses, formulate robustness metrics, and emphasise the challenges of large language models (LLMs
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: knowledge and experience within marine technology, in particular, offshore wind turbine technology knowledge and experience within machine learning motivation and potential for research within the field