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and qualifications, or as mandated by a U.S. Department of Labor prevailing wage determination. Other compensation associated with this position may or may not include Startup, Relocation Incentive
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place to work. Rice faculty, staff and students share values that are essential to our success as a healthy community. Those values guide our decisions and behaviors and shape Rice's culture. They come
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will provide training in mixed-methods research, qualitative analysis, the science of patient engagement in research, and patient-centered outcomes research. Key responsibilities include designing and
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or related with strong bioinformatics background) (m/f/d) with focus on the analysis of cutting-edge liquid biopsy proteomics, transcriptomics and other omics data sets related to blinding diseases, such as
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Browning, sponsored by a Wellcome Mental Health Award, to study motivation and decision making in approach-avoid tasks and in the context of repetitive negative using novel experimental tasks. The post is
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CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
-dimensionality and complexity of metabolomics data, requiring advanced AI/ML techniques for robust analysis and interpretation. Integration of multi-omics data (genomics, transcriptomics, proteomics, and
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simulation methods, decision theory, uncertainty quantification, machine learning. Applications and areas of key innovation Image analysis, computer graphics, autonomous and assisted driving, 3D scene analysis
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., Python, MATLAB). Preferred Qualifications: Experience in resilience analysis for multi-agent systems. Familiarity with communication-constrained algorithm design. Prior work on communication-efficient and
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the following primary tasks: Develop inspection methods for assessing component condition and material quality Perform testing and analysis to support remanufacturing decisions, including Elemental composition
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. graduates with a strong background in statistics and data analysis, imaging science, segmentation of medical images including magnetic resonance imaging (MRI) scans, and outcomes research. Familiarity with