José Alves
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Professor Auxiliar Convidado
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About
José Alves is a Professor Auxiliar Convidado at the Faculdade de Ciências Universidade de Lisboa, Portugal. His research encompasses areas such as energy price dynamics, green finance, migration flows in the European Union, and sovereign risk dynamics. Through his recent articles, he investigates the impact of economic and geopolitical factors on financial systems and migration patterns.
Recent Grants
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Global Innovation Trends: Determinants and Characteristics of the Innovative Performance of Nations
Open Date: 2020-01-01
Close Date:
Articles (24)
Research Article on Advanced Machine Learning Applications
Year:
2024
Research Article on Advanced Machine Learning Applications
Year:
2024
Research Article on Advanced Machine Learning Applications
Year:
2024
Research Article on Advanced Machine Learning Applications
Year:
2024
Research Article on Advanced Machine Learning Applications
Year:
2024
Research Article on Advanced Machine Learning Applications
Year:
2024
Research Article on Advanced Machine Learning Applications
Year:
2024
Research Article on Advanced Machine Learning Applications
Year:
2024
Research Article on Advanced Machine Learning Applications
Year:
2024
Research Article on Advanced Machine Learning Applications
Year:
2024
Research Article on Advanced Machine Learning Applications
Year:
2024
Research Article on Advanced Machine Learning Applications
Year:
2024
Research Article on Advanced Machine Learning Applications
Year:
2024
Research Article on Advanced Machine Learning Applications
Year:
2024
Research Article on Advanced Machine Learning Applications
Year:
2024
Research Article on Advanced Machine Learning Applications
Year:
2024
Research Article on Advanced Machine Learning Applications
Year:
2024
Research Article on Advanced Machine Learning Applications
Year:
2024
Research Article on Advanced Machine Learning Applications
Year:
2024
Research Article on Advanced Machine Learning Applications
Year:
2024
Research Article on Advanced Machine Learning Applications
Year:
2024
Research Article on Advanced Machine Learning Applications
Year:
2024
Collaborators (5)
John Doe
Professor of Computer Science
University Name
John Doe
Professor of Computer Science
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John Doe
Professor of Computer Science
University Name
John Doe
Professor of Computer Science
University Name
John Doe
Professor of Computer Science
University Name

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