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, Clepsydra - Groundwater monitoring and Decision Support System development to optimise decision making in sensitive and water-scarce agricultural environments in the Mediterranean context, taking place at
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Escola Superior de Design, Gestão e Tecnologias da Produção de Aveiro - Norte da Universidade de Aveiro | Portugal | 10 days ago
experience in business environment in the disciplinary area for which the tender is open for at least 5 years. 4.2 — Candidates must prove that they meet the above requirements (4.1.1 to 4.1.4), indicating
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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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diverse environment where you'll collaborate with a broad multidisciplinary team of ML scientists, analysts, software engineers, and product managers. You'll be encouraged to take ownership of your projects
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grow. We are looking for someone who is independent, curious, and motivated; who likes discussing ideas and will bring something new to the table. You will be working in a diverse environment where
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origin, language, religion, political or ideological convictions and trade union membership. International environment and experience: Diversity is a fundamental aspect of the essence of iMM, where
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researcher Sílvia Amaral shall be responsible for supervising the scientific activities of the Water Resources and Hydraulic Structures Division of the Hydraulics and Environment Department of LNEC. 12
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learning algorithms in non-stationary environments. Specifically, • One of the grantees is expected to investigate/develop scenarios of evaluation involving populations of social-learning agents. In
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held by the grantee. 5 | OBJECTIVES/WORKPLAN The grantee will develop new deep-learning approaches to extract relevant features in large datasets to understand the environment's causal structure
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ROS (1 and 2). Proven experience in Artificial Intelligence algorithms applied in the context of robotics. Experience in modeling objects and their behavior considering simulation environments with