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better science. Project description A central question we pursue is: what signals promote durable, potent immune memory within the respiratory tract, and how can we engineer those signals into next
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knowledge A decent theoretical background in philosophy, physics, computer science, mathematics, engineering, neuroscience or psychology. Project funding Other Funding reference https
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machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch or TensorFlow) Project funding Other Funding
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knowledge A decent theoretical background in philosophy, physics, computer science, mathematics, engineering, neuroscience or psychology. Project funding Other Funding reference https
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. Candidates will be considered from a variety of disciplines, including computer science, economics, sociology, political science, international relations, political economy, communications, public
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-Duchene Group is based in the Section for Health Data Science and AI at the University of Copenhagen's Department of Public Health. The group works at the intersection of computer science, mathematics
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building Evaluation regarding localization accuracy, robustness and scalability What you contribute You are currently studying computer science, robotics, mechanical engineering or a comparable field
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benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented by the Harvard Academic Workers ( HAW ) – UAW for purposes of collective bargaining and
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benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented by the Harvard Academic Workers ( HAW ) – UAW for purposes of collective bargaining and
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LTS2 Lab https://lts2.epfl.ch offers a highly motivating, interdisciplinary scientific environment with many opportunities to interact between different projects and researchers, and has an