126 3-phd-positions-in-computer-science-artificial-intelligence Postdoctoral positions
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with the neuromuscular system to improve movement. We apply artificial intelligence, computational modelling and biological signal processing, in a translational way, to develop novel real-time bio
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in computer science, mathematics, statistics, bioinformatics, or equivalent. The candidate should have previous experience in bacterial genomics, machine learning/artificial intelligence, preferably
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. The Faculty of Health Science and Technology has an opening for a full-time post-doctoral research fellow in Computer Science with a focus on Impact and Risk Assessments, Artificial Intelligence, and Digital
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required to have a PhD degree or a foreign degree that is deemed equivalent in Computer Science, or another subject of relevance for the project. Documented knowledge and proven research experiences in
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. Demonstrated interest in teaching. Experience Requirements and/or Equivalents This is an entry-level position Practical and/or research experience with artificial intelligence, including college-level coursework
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. Mustafa Khammash, email: mustafa.khammash@bsse.ethz.ch (no applications). We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence
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the neuromuscular system to improve movement. We apply artificial intelligence, computational modelling and biological signal processing, in a translational way, to develop novel real-time bio-inspired assistive
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modeling and prediction Integration of perception, planning, and control for robust real-time robotic performance Requirements PhD Position: Master’s degree in Robotics, Mechanical Engineering, Electrical
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Campus Address Tucson, AZ USA Position Highlights The department of Electrical and Computer Engineering (ECE) at the University of Arizona is seeking a qualified and highly motivated Postdoctoral Research
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postdoctoral researcher for pioneering research at the convergence of artificial intelligence (AI) and materials science. The ideal candidate should possess expertise in scientific machine learning (SciML