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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
Postdoctoral Scholar in Radiology-Brain Tumor Imaging Lab Apply now to Postdoctoral Scholar in Radiology-Brain Tumor Imaging Lab Job #JPF11059 Radiological Sciences / David Geffen School Of Medicine
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. Prof. Sijia Xiao is starting a new group within the research group Cooperative Systems at the University of Vienna working across Human-Computer Interaction (HCI), Responsible AI, and Social
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systems; human–AI interaction and human–computer teaming; AI-enabled biosensors for continuous health monitoring; world models, simulations, and digital twins; lab-in-the-loop approaches that connect
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, computer science, data science, computational biology, or a related discipline. Research experience at the PhD, postdoctoral, advanced research engineering, or equivalent level is strongly preferred
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digital twins and multi-agent controls; embodied and wearable AI systems that bridge human-computer interaction and design; automated self-driving laboratories that pair hardware instrumentation with active
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. Where to apply Website https://jobs.vib.be/apply/137553 Requirements Research Field Computer science Education Level PhD or equivalent Research Field Mathematics Education Level PhD or equivalent Research
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later start date will also be considered. Selected postdocs will work with a primary mentor on projects at the intersection of educational data science, AI in education, human-AI interaction, and the
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-computer interfaces, micro/nano electrodes, large-scale neural information recording, encoding/decoding, and brain-machine interaction systems. 2. Brain & artificial intelligence (brain & AI): Covering
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excellence cluster “Human Origins,” complementing and expanding on existing strengths including new geographical areas/chronological periods. Potential research directions include, but are not limited to
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intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic