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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 16 hours ago
topics. Requirements Minimum Acceptable Education & Experience: PhD in Computer Science, Visualization, Cartography, Geographic Information Science, or a closely related field. Strong background in
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society. A key element is the role of technology and its interaction with industry and individuals. The department offers a wide range of courses and programs at bachelor, master and PhD level across
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experience, or equivalent combination of education and work experience. Preferred Qualifications PhD in Computer Science or a closely related field. Record of publications in top-tier AI/NLP or HCI
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to the Laboratory. Perform other duties as assigned. Qualifications Recent Ph.D. in Computer Science, Machine Learning, Applied Mathematics, Statistics, Human-Computer Interaction, or a related field
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Learning, and the Human-Computer Interaction Lab at UMD , and the Center for Equitable AI and Machine Learning Systems at MSU . We are seeking candidates in any area of research related to developing
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Helmholtz Centre for Infection Research (HZI) | Brunswick, Missouri | United States | 24 minutes ago
infectious diseases. Our research focuses on bacterial and viral pathogens, their interaction with the human immune system and new effective substances and vaccines. The Department of “Computational Biology
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Helmholtz Centre for Infection Research (HZI) | Brunswick, Missouri | United States | 24 minutes ago
pathogens, their interaction with the human immune system and new effective substances and vaccines. The Department of “Computational Biology for Infection Research” studies the human microbiome, viral
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following undergraduate level courses: Introduction to Human-Computer Interaction Foundations of Information Systems Security Technology Innovation and Entrepreneurial Leadership Advanced Management
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Computing , Health Science , Life Science Job Type Postdoctoral Employment - Hours Full time Duration Fixed term Qualification PhD Sector Academia Apply on website (This will open in a new window from
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)physiological, behavioral, and interaction data can be used to infer a user's cognitive and emotional state during training, and how these insights can be used to adapt the training environment in real time