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Description of the host entity/department Université Côte d’Azur (UniCA) coordinates the consortium that forms the 3IA Côte d’Azur Institute, one of four Interdisciplinary Institutes for Artificial Intelligence
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Primary Purpose: The Taghibiglou Research Group (Dr. Changiz Taghibiglou, https://neuroscience.usask.ca/people/faculty/dr.-changiz-taghibiglou.php ; https://medicine.usask.ca/profiles/anatomy-physiology-pharmacology/changiz-taghibiglou.php ) at the University of Saskatchewan (USask) in...
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to conduct the research for the project entitled “Multimodal Human-robot Interaction and Analytics in Robotics Artificial Intelligence”. The role will focus on research and development of human-robot
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee Artificial Intelligence (AI) related fields
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee Artificial Intelligence (AI) related fields
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for a student assistant position in Artificial Intelligence (AI). This position offers a unique opportunity to conduct both basic and applied research in concert with collaborators working on diverse
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Max Planck Institute of Molecular Cell Biology and Genetics | Dresden, Sachsen | Germany | 2 days ago
: Dresden, Saxony 01307, Germany [map ] Subject Areas: Artificial Intelligence, Machine Learning, Applied Mathematics, Biomathematics, Mathematical Biology, Computational Science, Statistics, Numerical
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W2 NBesO) at the Institute of Computer Science at the earliest possible date: W1 Professorship with tenure track to W2 in Artificial Intelligence (f/m/d) The successful candidate will initially be
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Applicants are invited for the post of Postgraduate Research Associate in Multimodal Artificial Intelligence for Biology. The aim of this interdisciplinary project is to establish that routinely
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Engineering, Artificial Intelligence, Computer Science or equivalent. Strong background in Deep Learning, Generative Models and Large Language Models. Strong publication record in top conferences/journals