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of classes, using Machine Learning (ML) techniques such as Decision Trees, K-Nearest Neighbors (KNN), XGBoost, Support Vector Machines (SVM), or Neural Networks. Explore and implement clustering algorithms
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integration and thermal networks; • proficiency in Python; Minimum requirements: - knowledge in programming; - fluency in English and Portuguese (written and spoken). 5. EVALUATION OF APPLICATIONS AND
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Learning (CNN, RCNN), Large-Scale Language Models (e.g., transformer-based models such as Llama), and Statistical Network Models. The work also includes the writing of technical reports and scientific
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Institute of Systems and Robotics, Faculty of Sciences and Technology of the University of Coimbra | Portugal | 1 day ago
- DT4ST call), funded by the Recovery and Resilience Plan (PRR), under the implementation of the sub-investment with the code C19-i08, designated as “Smart Territories - AMA” of the PRR, component C19
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neural networks, enabling us to estimate the reliability of a single decision of this algorithm. Regarding generalisation, recent self-supervised learning paradigms have strong synergies with the multi
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. Functional testing of developed PCBs, including experimental validation of electronic circuits and S-parameter characterization using a vector network analyzer (VNA).; 4. Experimental characterization
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the complexity of decoding techniques based on Guessing Random Additive Noise Decoding (GRAND) applied to short block codes. The techniques to be implemented should leverage the structures and properties
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ensure the exercise of the right to social security by joining the voluntary social insurance scheme, pursuant to the Code of Contribution Regimes of the Social Security Social Security System
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., generation of malicious/destructive code). In this sense, the work includes the study, experimentation, and integration of different security mechanisms applicable to LLMs, as well as the comparison and
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&D project/institution HIBA+ – CONSOLIDACIÓN Y FORTALECIMIENTO DE LA RED HIBA PARA LA SOSTENIBILIDAD Y TRANSFORMACIÓN DIGITAL DE LA CADENA DE VALOR AGROALIMENTARIA, project code 0195_HIBA_MAS_6_E