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the project, not exceeding the maximum period set by FCT for such grants. RENEWALL Renewable is subject to performance if the candidate is enrolled in a: MSc program - art. 6º, n.4 b) https
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: PhD program - art. 6º, n.4 c) https://diariodarepublica.pt/dr/detalhe/regulamento/950-2019-127238533 https://files.dre.pt/2s/2019/12/241000000/0009100105.pdf subject to suitable performance within
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of scientific papers; - Produce a technical report documenting all the tasks performed.; 4. REQUIRED PROFILE: Admission requirements: BSc degree in Computer Science and Engineering. The awarding of the fellowship
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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
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Renewable is subject to performance if the candidate is enrolled in a: MSc program - art. 6º, n.4 b) https://diariodarepublica.pt/dr/detalhe/regulamento/950-2019-127238533 https://files.dre.pt/2s/2019/12
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Research Framework Programme? Not funded by a EU programme Reference Number BI 38.PL747.2025.IDMEC Is the Job related to staff position within a Research Infrastructure? No Offer Description Reference: BI 38
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21 Nov 2025 Job Information Organisation/Company Universidade de Coimbra Department Divisão de Projetos e Atividades (Bolsas) Research Field Computer science » Informatics Researcher Profile First
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.; ●Research and develop novel generalizable deep learning computer vision algorithms for EGGIM estimation; ●Publish results in high impact journals and conferences; 3. BRIEF PRESENTATION OF THE WORK PROGRAMME
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Job Status Full-time Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? European Union / Next Generation EU Reference Number 105/2025/BI/AgendasPRR Is the Job
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Institute of Systems and Robotics, Faculty of Sciences and Technology of the University of Coimbra | Portugal | 3 months ago
: Familiarization with hardware integration: training in the assembly, configuration, and operation of hardware components (sensors, computing units, communication modules) to understand their role in forest data