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AMALIA - Creation of the Large-Scale Language Model of the Portuguese Language of Portugal (Automatic Multimodal Language Assistant with Artificial Intelligence), reference AMALIA, inserted in measure RE
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generative models for the creation of human movement datasets for training AI models; - Prepare activity reports and scientific articles. 4. REQUIRED PROFILE: Admission requirements: - Master's student, with a
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learning models for generating artificial data using generative models. The result will be high-fidelity medical data. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - extend the knowledge
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protocols for data collection with motion capture systems and curation of the resulting data - Design generative models for the creation of human movement datasets for training AI models - Evaluate
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Life and Health Sciences Research Institute (ICVS), from the School of Medicine (EM) of the University of Minho | Portugal | about 2 months ago
of Honor regarding the benefited Research Fellowships, issued as defined in the model attached to the present public notice, in order to assess whether the candidate meets the necessary conditions to
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 months ago
environments. By leveraging real data collected from multiple Portuguese restaurants, the project develops advanced forecasting models and digital tools, such as digital twins, to monitor and optimize energy and
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Stimulation, Computational Modelling, Biomedical Engineering and Biophysics, Neurosciences Admission requirements: Bachelor’s degree in Biomedical Engineering and Biophysics. Must have attended courses
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AMALIA - Creation of the Large-Scale Language Model of the Portuguese Language of Portugal (Automatic Multimodal Language Assistant with Artificial Intelligence), reference AMALIA, inserted in measure RE
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nationals, stateless persons, and citizens with political refugee status are eligible to apply for this competition. Candidate eligibility requirements: Proven experience in simulation and modeling using
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Large Language Models (LLMs). Knowledge is valued both in advanced prompt engineering techniques (e.g., few-shot learning, chain-of-thought prompting) and in fine-tuning and adaptation of models (e.g