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, Spanish or Rohingya. Website management skills. Archival research experience. Knowledge of any other research methods, e.g. documentary analysis; visual, participatory, and arts-based methods; ethnographic
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explores the Danish Golden Age (1750–1930) through a detailed analysis of textual and visual sources using a computational approach. The Danish Golden Age marked the emergence of structured news flows
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of the state-of-the-art (SOTA) methods; Design and implement experiments on real platforms operating outdoors, to compare our proposed work with SOTA baselines; Contribute to the preparation of manuscripts
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multi-disciplinary team of academics, clinical experts, and students at Cornell University. This position will require a passion for visual design, continuing education, online training and attention
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visualization • Behavioral analysis • Prior mentoring experience and capacity for collaborative research across disciplines Job description: Lead efforts to elucidate how innate immune signaling regulates
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research methods, e.g. documentary analysis; visual, participatory, and arts-based methods; ethnographic research; participant observation; and discourse and institutional analysis. Knowledge of data
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Charles Henry Turner Post-doctoral Fellow, Department of Geography & GIS, College of Arts & Sciences
social sciences, including hydrology and environmental resource management, public health, urban digital twin, or data visualization. This position is a full-time, 24-month in-residence position
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—such as visual navigation, object detection, anomaly identification, and compression—when using conventional versus event-based sensing modalities. identify application domains where neuromorphic systems
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on Control theory and ML methodologies for Field Robotics; Support the supervisor in developing and implementing the research agenda; Reproduce results of the state-of-the-art (SOTA) methods; Design and
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genomics/transcriptomics data Experience in large scale data analysis, data visualization and data integration Experience in the following topics will be considered an advantage: Analysis of transcriptomics