12 machine-learning-"https:" "https:" "https:" "RAEGE Az" Fellowship research jobs at University of Algarve
-
Engineering/ Electrical Engineering. 2. Admission Requirements: Bachelor's degree in Computer Engineering, Systems and Information Technologies Engineering, Electrical and Computer Science Engineering, or in a
-
. Admission Requirements: Master's degree in Computer Engineering or Computer Science Engineering, or in a related area. Preference is given to candidates who are integrated in the fields of in the fields
-
Area: Computer Science 2. Admission Requirements: Graduates (Licenciatura) in computer engineering or related area, with experience in Machine Learning/Deep Learning methods/techniques. 3. Project
-
the current wording conferred by Decree-Law nº 123/2019, of August 28 and the Regulation of Research Grants of the University of Algarve (https://files.dre.pt/2s/2021/10/210000000/0013700149.pdf ). Working
-
at the University of Algarve in the area of Computer Engineering. Other documents deemed relevant due to the type and modality of the scholarship. The Application for the Competition, accessed in https://www.ualg.pt
-
Computer Engineering (or similar). Preference is given to candidates who are integrated in the fields of Electrical Engineering – Computing or Electrical Engineering – Information Technologies, and with
-
project of a higher education institution, developed in association or cooperation with one or more R&D units.” (https://files.dre.pt/2s/2021/10/210000000/0013700149.pdf ). 4. Project Objectives: General
-
Foundation for Science and Technology Research Grant Regulations (https://files.diariodarepublica.pt/2s/2019/12/241000000/0009100105.pdf ). 5. Workplace: The work will be carried out at Center for Advanced
-
of Algarve Research Grant Regulations (https://files.dre.pt/2s/2021/10/210000000/0013700149.pdf ). 5. Workplace: The work will be developed at ICArEHB, University of Algarve, and in Mozambique, jointly with
-
amended by Decree-Law No. 65/2024 of October 1, and the Regulation for Research Grants of the Foundation for Science and Technology (https://files.dre.pt/2s/2019/12/241000000/0009100105.pdf ). 5. Workplace