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a model for identifying valid locations for Irregular 3D items. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: Literature review.; Development of the localisation identification model
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council meeting minutes and their summaries and simplifications; Validate the results of the LLM models developed by the computer science team for information identification, extraction, simplification and
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new approach based on physically inspired hybrid machine learning models for generating artificial data using generative models. The result will be high-fidelity medical data. 3. BRIEF PRESENTATION
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requirements of the subproduct collection and distribution processes and model the problem using Operations Research methods. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - Identify the requirements
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factors: Good level of English language.; Experience in science communication (presentation of works in workshops or conferences).; Experience in scientific research.; Experience in mathematical models
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. Preference factors: Knowledge in ADMS applications Fluency in English and Portuguese (spoken and written) Minimum requirements: Knowledge in power systems steady state modelling. Knowledge in programming (C, C
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of this project is to create a radiomics and radiogenomics based approach to describe and create predictive models to characterize lung cancer based on a non-invasive methodology. 3. BRIEF PRESENTATION OF THE WORK
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the integrity and temporal consistency of the data. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - Study and understanding of the base model of a DPP; - Study and understand the existing API
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qualitative characterization. The objective of this project is to create a feature-based approach to describe and create predictive models to characterize cancer. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND
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; Prepare a bibliographic review on methods of explanation in Network Science models; Write the activity report.; 4. REQUIRED PROFILE: Admission requirements: Master in Data Analytics, Data Sciences