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Pastrana, Guillermo Suarez-Tangil. IoC Stalker: Early Detection of Indicators of Compromise. Annual Computer Security Applications Conference (ACSAC). December 9–13, 2024. (link: https://suarez
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of research staff to cover contractual positions assigned to research projects, available at the following website address: https://s.ua.es/es/nlJx , approved by the Governing Council of 22 December 2009 (BOUA
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processes. • Apply machine learning techniques and advanced statistical analysis to extract knowledge from complex datasets. • Participate in the evaluation and optimisation of high-performance scientific
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of Bayesian inference, data science, and machine learning. Experience in scientific computing in C++, Python, and/or Julia. Knowledge of electrochemistry and materials science (desirable). Ability to work as a
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for a short-term 2.5-month postdoctoral position (full-time) focused on developing and validating machine learning models that predict soil health and crop performance. The position will exploit datasets
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7 Jul 2026 Job Information Organisation/Company Institut d'Investigació Biomèdica Sant Pau Research Field Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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Researcher (R1) Positions PhD Positions Application Deadline 13 Sep 2026 - 23:59 (UTC) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week 37.5 Is the job funded through the EU
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benchmarking of machine learning models for semantic segmentation and land cover classification. REQUIREMENTS (failure to meet them will result in exclusion) Applicants must hold a PhD in Information and
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results in peer-reviewed journals, present them at conferences, and contribute to project reporting. Work with the interdisciplinary team of the group (theory, computation, machine learning) and support
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opportunities. Flexible working arrangements, including the possibility of partial remote work. Responsibilities: Design and implement machine learning and AI models for the early identification and prediction