12 engineering-computation-"https:" "https:" "https:" "https:" Fellowship research jobs at University of Algarve
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Application Deadline 22 Jan 2026 - 23:59 (Europe/London) Type of Contract Not Applicable Job Status Not Applicable Offer Starting Date 2 Feb 2026 Is the job funded through the EU Research Framework Programme
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through the EU Research Framework Programme? European Union / Next Generation EU Reference Number 101161975 — PRIMERS — ERC-2024-STG Is the Job related to staff position within a Research Infrastructure? No
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the field of Computer Science or Electrical Engineering (or similar). Other documents deemed relevant due to the type and modality of the scholarship. The Application for the Competition, accessed in https
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5 Dec 2025 Job Information Organisation/Company University of Algarve Research Field Computer science Engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions Country
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Area: Computer Science / Computer Science Engineering. 2. Admission Requirements: Bachelor's degree in Computer Science Engineering, Informatics, Systems and Information Technologies Engineering, or in a
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Application Deadline 9 Jan 2026 - 23:59 (Europe/London) Type of Contract Not Applicable Job Status Not Applicable Offer Starting Date 12 Jan 2026 Is the job funded through the EU Research Framework Programme
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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
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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
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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
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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