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and contribute novel hypotheses, ideas, and develop novel methodologies. Contribute and participate in the authorship of research publications and presentations. Collect, analyze and graph data
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performing data analysis, including FACS data, Statistical & bioinformatics analyses: SPSS, Graph Pad. FLSA Exempt Full Time/Part Time Full Time Number of Hours Worked per Week 40 Job FTE 1.0 Work Calendar
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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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, though not required. Knowledge of bioinformatics is highly advantageous, but not mandatory. Certifications/Licenses N/A Required Knowledge, Skills, and Abilities Proficiency in graphing software and
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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