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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | 6 days ago
. Machine Learning and Life Science Approaches to transform Human Health At AITHYRA, we believe the future of research lies in the seamless integration of Artificial Intelligence and the Life Sciences. We are
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 10 hours ago
PhD website: https://phd.aithyra.at/ Company The mission of AITHYRA, the new Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences is to transform the way
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Max Planck ETH Center for Learning Systems | New Germany, KwaZulu-Natal | South Africa | 27 days ago
Observation, Educational Technology, Efficient AI, Explainable AI, Haptics, Human-Computer Interaction, Human-Robot Interaction, Imaging Technology, Machine Learning, Medical Informatics, Medical Robotics
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PhD Student in Robotics and Artificial Intelligence Lulea Reference number 4815-2026 Are you ready to take the next step in your academic journey? As a doctoral student with us, you will work closely
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and Artificial Intelligence center have access to computer clusters, experimental lab facilities, and the virtual and mixed reality DAF Technology Lab and its sensing technologies ( https
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and Artificial Intelligence center have access to computer clusters, experimental lab facilities, and the virtual and mixed reality DAF Technology Lab and its sensing technologies ( https
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and Artificial Intelligence center have access to computer clusters, experimental lab facilities, and the virtual and mixed reality DAF Technology Lab and its sensing technologies ( https
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be studied rigorously. Applicants may have a background in natural language processing, computational linguistics, computer science, machine learning, artificial intelligence, data science, digital
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Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a closely related technical field. Demonstrated knowledge of or interest in Indigenous Knowledge Systems and
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, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is