35 web-programmer-developer-"https:"-"UCL" Fellowship positions at Universidade de Coimbra
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record, the candidates' academic performance will be assessed according to the following weights and criteria: - Criterion 1: Adequacy of the candidate`s profile to the work plan to be developed
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and criteria: - Criterion 1: Academic merit – 40% - Criterion 2: Motivation and adequacy to the work plan to be developed – 60% VII.II- The evaluation of the criteria and the final classification will
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Plan / Goals to be achieved: The objective of this grant is to develop the fundamental steps for training and evaluating predictive models for code comprehension using multimodal data, namely EEG, HRV
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in several tasks within the project’s work plan, including: - Development of deep learning models (e.g., convolutional neural networks and vision transformers); - Presentation of results at consortium
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Starting Date 17 Nov 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number IT137-25-512 Is the Job related to staff position within a Research
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Full-time Hours Per Week 35 Offer Starting Date 17 Nov 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
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the University of Coimbra. III- Scientific supervision/coordination of the grant: Lino José Forte Marques IV - Work Plan / Goals to be achieved: Research and development activities will be carried out in
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the development of the activities included in this project OR in a PhD programme in the scientific area of Biology, Biotechnology, Bioengineering, Biochemistry, Pharmaceutical Sciences, Neuroscience, Biomedicine
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: The research plan aims to investigate and characterize persistent open-shell organic molecules, as well as develop strategies to extend the lifetime of their high-spin configurations, specifically using crystal
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- Criterion 3 – Adequacy of the candidate’s profile to the work plan to be developed VII.II- I – In the evaluation of the interview, candidates' performance will be assessed according to the following weights