193 programming-languages-"the"-"CNRS"-"U"-"UCL"-"O.P" Fellowship positions in Portugal
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Portugal Application Deadline 10 Oct 2025 - 23:59 (Europe/Lisbon) Type of Contract Not Applicable Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU
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, Computer Engineering; Knowledge of C/C++ programming, etc., and of software development and integration will be valued; fluency in English (spoken and written); prior knowledge of Computer Vision, Computer
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Date 1 Dec 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description One
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Knowledge related to the work plan (30%); - Adequacy of the candidate´s profile to the work plan to be developed (30%); - Knowledge of foreign languages, particularly English (10%). VII.II- I – In
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Aquaculture Experience in zootechnics and fish broodstock management Experience in translation of teaching contents Good Portuguese language level 3. Project Objectives: The scholarship work plan includes
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-127238533 or Non-degree programme – art. 6º, n. 4 a) https://diariodarepublica.pt/dr/detalhe/regulamento/950-2019-127238533 The applicants are required to have proficiency in Portuguese and English, both
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of the candidate's education and experience to the objectives of the work to be performed; - Previous experience in programming, website development, and web page management. Required languages: Portuguese or English
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%); - Knowledge of foreign languages, particulary English (10%); - Specific knowledge related to the work plan (20%) - Proficiency in Portuguese language (5%). VII.II- I – In the evaluation of the interview
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of Contract Not Applicable Job Status Not Applicable Is the job funded through the EU Research Framework Programme? European Union / Next Generation EU Reference Number GA 101089757 - SEA-EU 2.0 Is the Job
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information to be extracted, the system should generate an XQuery program to perform the extraction. We will leverage Large Language Models and explore various prompting strategies to determine the most