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new methods incorporating transformer models, graph neural networks, and self-supervised learning approaches that can extract deeper biological insights from genomic data. Join us in this exciting
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areas: Generative AI Agentic AI Graph Representation Learning and Modeling Foundation Models Large Language Models Multimodal Learning Basic Qualifications A Ph.D. or equivalent degree in Machine Learning
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. Certifications/Licenses N/A Required Knowledge, Skills, and Abilities Proficiency in graphing software and statistical analysis tools is expected. The applicant must have evidence of scholarly publications in
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existing data and generate manuscript proposals. Perform data analysis and draft comprehensive APA-style results sections, including tables, graphs, and figures. Recruit and educate potential patients
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processes are controlled by tumor-brain communication? Deciphering the code of age-associated pathologies through graph-based models (Rendeiro Lab ). The Institute CeMM is an international research institute
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., knowledge graphs) and patient electronic health records (EHRs) Familiarity with biomedical terminology Interest in equity, bias, and representation, in both evaluating the skews of datasets and the
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Physics, Spectral Theory, Quantum Chaos, Large Graphs and Quantum Walks. Related areas such as Quantum Information can also be considered. This position is offered through the research funds of Mostafa
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analysis methods, including quantitative structural analysis, network-based functional analysis, voxelwise cross-modality analyses, graph theoretic approaches, and machine-learning based applications
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preliminary analysis of the data using graphs, charts or tables to highlight the key points of the research results collected in accordance with the research protocols as stipulated. Prepare and present
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Pneumatic Tires, Structure-Process-Properties Relationships. As part of our Data Science strategic research program, we are looking for a Post Doctoral researcher with expertise in Knowledge Graph Engineering