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Field
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% Trains individuals and groups on equipment operations, research protocols, and techniques within a specialized laboratory or research area 10% Assists with the development of research methodologies and
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Cornell faculty members and the project’s co-principal investigators (from multiple organizations) to oversee a cross-organizational research team consisting of a group of postdoctoral associates, PhD
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novel algorithms for pattern detection, extreme event attribution, and seasonal forecasting. Lead development of innovative visualization techniques and interpretable machine learning methods (30%). Drive
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Duke Kunshan University Position ID: DukeKunshanUniv -25SNASCOMPSCI [#29608] Position Title: Position Location: Kunshan, Suzhou 215316, China [map ] Subject Areas: Computer Science / Algorithms
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science, including supervising team members, developing novel algorithms for pattern detection, extreme event attribution, and seasonal forecasting. Lead development of innovative visualization techniques
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REQUIREMENTS: We are seeking Undergraduate and Graduate Student Co-ops to support research, development, and engineering activities of the Navigation Research and Development Division (NRDD) part of The Applied
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to Neuroimmunology and Multiple Sclerosis. Our department provides translational science expertise to inform the clinical development of novel personalized therapeutics, and our biomarker teams investigate
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, specifically web content management systems. Required Skill/Ability 5: High-level understanding of complex technical concepts and multiple development processes. Experience with digital publishing, analytics
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to contributions in top-tier international journals and real-world implementations. Responsibilities: Develop and refine algorithms for decision optimization and risk control, utilizing big data and advanced
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position includes: Experience leading development activities within a project’s scope Experience with a diverse set of processors, protocols, and toolsets This job may be filled at multiple levels, depending