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bioinformatics, and statistical modeling to decode the complex molecular mechanisms that shape human vision. By leveraging high-dimensional data and cutting-edge computational analyses, we aim to uncover
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of condensed matter systems, spin qubits, magnetism, spintronics, spin-related phenomena in semiconducting materials, quantum many-body physics, and quantum information and computing, are welcomed to apply
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The Opportunity: Conduct research in Natural Language Processing (NLP), Computer Vision, and Artificial Intelligence (AI), with the goal of publishing in top-tier conferences such as CVPR, ICCV
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analysis. Required qualifications Applicants should have a Ph.D. in mechanical engineering, biomedical engineering, hearing science, or other relevant fields. Required application materials To apply, please
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computer codes to solve some of the daily research problems and have experience with high performance computing. You should have a PhD in Chemistry, Physics or Materials Science with a proven research track
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Computer Engineering Position Summary Application Deadline Applications screening will begin immediately. However, screening of applicants will continue until the position is filled. Starting date
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to Submit Application Materials: Please submit Required Application Materials to Gernot Kaber (gkaber@stanford.edu (link sends e-mail) ). Does this position pay above the required minimum?: No. The expected
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synthesise novel and technologically relevant nitrogen-based materials. The PDRA will employ the newly-developed single-crystal X-ray diffraction of powder-like samples for the structural characterisation
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bioinformatics, and statistical modeling to decode the complex molecular mechanisms that shape human vision. By leveraging high-dimensional data and cutting-edge computational analyses, we aim to uncover
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materials for the next generation of microelectronics and quantum information science and technology. Position Description: We are looking for a Postdoctoral Research Associatefor a 1-year term , to grow high