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that integrates evolving knowledge graphs (KGs) with domain-specific foundation models to enhance diagnostic capabilities. This research will look into how knowledge graphs be designed and generated from
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. - Apply graph-based and machine-learning tools to model signaling networks driving plasticity. - Validate candidate pathways in cell culture and mouse models. - Present findings at seminars and conferences
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in writing scientific papers based on research findings. This includes generating graphs, tables, and other visuals for internal reports, grant applications, and publications. Collaborates with other
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affordance-level understanding of the environment over time. Emphasis will be placed on dynamically adapting the fusion process to modality confidence, constructing rich scene graphs that encode geometry
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Systems Biology is an international, enthusiastic, and collaborative team in an outstanding dynamic scientific environment. Research foci in the department are machine learning on graphs, machine learning
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and advancing techniques such as machine learning, graph-based network analysis, and synthetic data generation, the project tackles key challenges in anomaly detection, transaction classification, and
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workflows, turning geodata into new answer maps. Knowledge graphs can be used to model these transformations and to link geodata sources to questions. In this project we will apply symbolic and sub-symbolic
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, MR, genetic correlation) - Managing of genetic datasets Where to apply Website http://www.ub.edu/caiac/solBeca?idConvocatoria=50402 Requirements Research FieldOtherEducation LevelMaster Degree
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statement of interest Academic transcript Applications Close: Sunday 1 March 2026, 11:55pm AEDT Minimum entry requirements: https://www.monash.edu/admissions/entry-requirements/minimum Research webpages
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 5 days ago
of the following documents: i) B1 Form – Fellowship application (https://ist-id.pt/recursos-humanos/bolseiros/#documentos-relacionados ); ii) Curriculum Vitae; iii) academic degree certificate, where applicable; iv