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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
1801P.01158.1.04 and (1801P.01460.1.04) LARSYS/ISR BASE 2025-2029 - SIPG LAB/ISR, financed by national funds through FCT/MCTES Workplan: To develop machine learning approaches to behavior analysis in
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assessed according to the following weights and criteria: - Criterion 1: Absolute merit of curriculum vitae - Criterion 2: Academic performance in the areas of Machine Learning, Data and Information Fusion
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 1 month ago
the most significant microscopic parameters for the homogenized response Develop and train machine learning models to estimate the homogenized properties from such parameters Document research findings
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27 Feb 2026 Job Information Organisation/Company University of Minho Department Algoritmi Center Research Field Engineering » Electronic engineering Engineering » Computer engineering Researcher
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Computer Science (or close field) with strong foundations in data management, machine learning, and software engineering. Coursework or projects in NLP/LLMs, information retrieval, knowledge graphs/ontologies, data
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the following conditions: OBJECTIVES | FUNCTIONS The purpose is to continue the research on Machine Learning methods applied to optimization techniques, in particular for the veicule routing problem. The idea is
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Computer Science (or close field) with strong foundations in data management, machine learning, and software engineering. Coursework or projects in NLP/LLMs, information retrieval, knowledge graphs/ontologies, data
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Computer Science, Computer Science and Engineering or related area. Additional optional skills and qualifications: Proven track record in ontology alignment, machine learning with biomedical data, and knowledge
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and might include a component of machine learning to speed up interpretation of the phage testing. The appointed candidate will be able to receive further technical guidance and supervisory support from
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, deadlines and multiple streams of activity • Motivation to work in a multidisciplinary academic–industry environment • Proficiency in English (oral and written) • Good computer literacy (MS Office, data