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Field
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that can sit at all scales of the human experience. We have a strong research focus and present our work at top-tier ACM computer science venues in Human Computer Interaction (HCI) and Wearable Computing
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that the successful candidate has a personality that promotes positive interactions with group members and staff. Together, we define the future of the group, both scientifically and with respect
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of the University and are expected to display respect, civility, professional courtesy, consideration of others and discretion in all interactions with members of the UT Dallas community and the
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, excellence, and passion are vital qualities within Carnegie Mellon University. We are in search of a team member who can effectively interact with a varied population of internal and external partners at a
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Mellon University. We are in search of a team member who can effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who
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scientific institutions in Europe. Opportunity to interact with internationally renowned experts, and with a strong team of postdoctoral researchers and PhD students. Information Only applications submitted
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topics: Predictive Coding of Music, led by Peter Vuust (PI, Director) Multimodal Theme, led by Boris Kleber Music Interactions, led by Peter Keller Meaning of Music, led by Elvira Brattico (PI) and Morten
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community interaction Analyse trends and emerging practices in AI education, talent development, and lifelong learning Contribute to scientific publications, reports, and communication materials related
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pharmaceuticals using cell sorting and sequencing techniques. The individual will also interact with, lead, and assist graduate and undergraduate students in the research group. 90% Research Conduct research
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, epithelial cell culture, and animal models of airway disease to probe in vivo bacterial activity and their interactions with the host epithelium. The ideal candidates will have a PhD in microbiology