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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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the ability of existing vision and language models to reason using language and visual inputs. Particular attention will be given to studying approaches to reasoning in continuous latent spaces and to the issue