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, tasks have a continuous evolution, and the precedence graph becomes dynamic. There is an initial method proposed in the literature, where a static model is proposed, introducing two states of products
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, Computational Social Science, Big Data. Relevant skills could include statistical analysis, data management and collection, causal inference, network analysis, graph theory, visualizations, and online tool
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implement ontologies: Specification of information models; Analysis and collection of requirements; Specification of semantic models; Mapping of Ontology using graph database technologies. Scholarship
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to students pursuing degrees through the doctoral level. More than 20 percent of its 25,000 students are enrolled in graduate course work, studying in disciplines ranging from atomic physics and graph theory
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. Ability to enter data and update graphs using a computer program. 3. Ability to communicate effectively in both verbal and written form. 4. Ability to remain calm and patient during challenging situations
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core component is the development of Explainable AI (XAI) frameworks, particularly counterfactual explainability, to ensure model transparency. The project also incorporates Graph Neural Networks (GNNs
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workflow optimization • Network, graph, and agent-based modeling for care delivery • Health equity, patient access, and system resilience • Multi-modal data integration using EHR, claims, environmental, and
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formatting change packages and key driver diagrams, and basic data analysis (dependent on project needs and proficiency with data analysis software, including Excel, creation of charts and graphs, constructing
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leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/ . Applications are now invited for
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learning, physics-informed neural networks, graph neural networks, transformers, convolutional defiltering methods, etc.) for the integration in multi-physics simulation codes You will develop code for and