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ENGINEERING

Porto - Porto

Descrição da oferta de emprego

Push forward the state of the art knowledge in machine learning regarding methods for neural networks complexity reduction; - Development of methods for the evaluation of biases, fairness, overestimation and related metrics; - Study, development and comparison of diverse approaches to reduce the complexity of neural networks; -Development of benchmarking approaches that go beyond the traditional Accuracy vs Complexity trade-off; - Exercise critical thinking in evaluating the research process and the results obtained.
Academic Qualifications The awarding of the grant is dependent on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions.
Minimum profile required Experience in Computer Vision and Machine Learning.
Preference factors Experience in research projects, and writing of scientific papers.
Application Period Since 04 Apr to 18 Apr [Open soon] Centre Telecommunications and Multimedia Scientific Advisor Ana Filipa Sequeira
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Detalhes da oferta

Empresa
  • INESC TEC
Localidade
Endereço
  • Indeterminado - Indeterminado
Data de publicação
  • 03/04/2024
Data de expiração
  • 02/07/2024
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