TH
Telma Henriques
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Work Experience
Técnico Administrativo
Jul 2023 - Present · 1 years and 5 months
Saber Compensa Academia de Estudos
Professora
Sep 2019 - Jul 2023 · 3 years and 10 months
Explicadora
Apr 2019 - Jun 2019 · 2 months
Company Details
CERENA-Centro de Recursos Naturais e Ambiente is a R&D Unit recognized by FCT- The Portuguese Science and Technology Foundation and rated with Excellent. FCT UID/04028/2020 CERENA's mission is to develop research at the highest level of excellence related to the sustainable use of natural resources, including energy, as well as their impact on the environment. CERENA uses an approach that is simultaneously integrative, multidisciplinary and multi-scale, from the molecular level to the planetary scale, where researchers from different scientific fields - earth, chemical and material engineering - converge towards the same objectives. We are committed to finding solutions to current societal challenges, including those related to climate action, environment, health, raw materials and resource, efficiency and, safe, clean and efficient energy, in order to contribute to achieving the goals of sustainable development. Currently, CERENA is a medium size R&D Unit with 63 fully integrated PhD researchers coming from various scientific fields such as mining engineering, geosciences, chemical engineering, materials engineering and geophysics among others gathered either by a common field of application and/or by the methodological approaches. The team accounts with 50 PhD students and about 41 other researchers. Researchers are organized in three main groups: Raw Materials, Energy and Environment. CERENA is hosted by two largest portuguese engineering schools: Instituto Superior Técnico from Universidade de Lisbon (IST-UL) and Faculdade de Engenharia from Universidade do Porto (FEUP).
Year Founded
2006
Social Media
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Industry
Research Services
HQ Location
Avenida Rovisco Pais Instituto Superior Técnico Lisbon, 1049-001, PT
Keywords
EngineeringResources and Raw MaterialsProcesses and Systems ModellingEnergyEnvironmentCircular EconomyMachine LearningArtificial IntelligenceEnergy EfficiencySpatial Data Sciences
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