Sort by
Refine Your Search
-
Listed
-
Field
-
objective of this project is to explore and apply Gen AI capabilities to optimize software testing processes, with a particular focus on test execution. The work aims to develop, implement, and evaluate a Gen
-
Fund, under the following conditions: . SCIENTIFIC AREA: Biomedical Sciences. . RECIPIENTS: Holders of a master’s degree in Biotechnology, Biochemistry, Biomedical Sciences or related areas, who are PhD
-
presentation of proposals for improvement: creation of additional analyses powered by the company's management software, such as deviation analysis and tools for analysing the performance of restaurant menus
-
conditions: . SCIENTIFIC AREA: Mechanical Engineering or Polymer Engineering. . RECIPIENTS: Holders of a master’s degree in mechanical engineering or Polymer Engineering who are PhD students in Mechanical
-
Civil Engineering, Materials Engineering, Mechanical Engineering or related areas who are PhD students in Civil Engineering, Materials Engineering, Mechanical Engineering or related areas who are enrolled
-
– the School of Technology and Management, of the Polytechnic of Leiria, under the supervision of PhD Professors Judite dos Santos Vieira, Sérgio Manuel Maciel de Faria and Telmo Rui Carvalhinho Cunha Fernandes
-
- Computer Science and Communication Research Centre, at the ESTG – School of Technology and Management, of the Polytechnic of Leiria, under the supervision of PhD Professor Sílvio Priem Mendes. . GRANT
-
PANEL: The jury responsible for the applications evaluation will be constituted by PhD professors: Pedro Manuel da Conceição Custódio (president), Florindo José Mendes Gaspar, Pedro José da Silva Carreira
-
Centre, at the School of Technology and Management (ESTG), of the Polytechnic of Leiria, under the supervision of PhD Professors António Manuel de Jesus Pereira, David Ferreira Safadinho, João Pedro
-
- Computer Science and Communication Research Centre, at the School of Technology and Management (ESTG), of the Polytechnic of Leiria, under the supervision of PhD Professors António Manuel de Jesus Pereira, João