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the following conditions: OBJECTIVES | FUNCTIONS POSITION 1 | Blockchain Interoperability - anomaly-based intrusion detection system for blockchain interoperability protocols Develop an anomaly-based intrusion
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the following conditions: OBJECTIVES | FUNCTIONS POSITION 1 | Blockchain Interoperability - Governance Protocols in Blockchain Interoperability Mechanisms Develop governance models used in blockchain
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datasets to be used in the project's experiments. - Benchmarking of membership inference and model memorization techniques. - Development of gradient-based approximate machine unlearning approaches
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approaches for binarized network models, identifying their strengths, limitations, and applicability within privacy-focused machine learning frameworks. Special attention will be given to evaluating
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: OBJECTIVES | FUNCTIONS The candidate will work on the development of novel approaches for clinical natural language processing specifically looking at: (a) the use of language models for coding multilingual
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, as well as predictive models for context-aware forecasting to guide tactical and strategic planning. (ii) to develop a Node.js–based analytics tool for supporting the management of donations and
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decision-making framework for forensic experts; (4) *Develop a prototype of a Decision Support System (DSS)*, integrating deep learning-based models with knowledge graphs for dental age assessment, ensuring
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demand for elastic and scalable cloud resources keeps growing, as evidenced by the emergence of popular cloud computing models such as Serverless. Since this demand cannot be met with existing
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approaches for the integration of cancer multi-omics data and the analysis of CRISPR-based screens. Responsibilities include designing bioinformatics workflows, processing molecular data, training models, and
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of the Project GROW-LC - I3AC003101, supported by INESC-ID, is now available under the following conditions: OBJECTIVES | FUNCTIONS The main objective is to develop a model capable of performing a statistical