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biological or medical imaging data. Strong programming skills in Python and experience with modern computer vision, machine learning, deep learning, or statistical image-analysis methods. Experience
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. Publish research results in leading journals and conferences in machine learning, computer vision, and computational imaging. Contribute to research-based teaching and supervision of MSc and BSc student
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processing, image reconstruction, machine learning and/or computer vision. Proficiency in mathematics, medical statistics, and 3D geometry. Proficiency in scientific and numerical C++ or Python programming
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 21 hours ago
Technology (KAUST) is looking for postdoctoral researchers in the area of computer vision, AI, and machine learning. The initial appointment will be for 2 years with a possible extension with a
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circuits, information processing, image & speech processing, and telecommunication systems. Within the ESAT department this position will be linked with STADIUS Center for Dynamical Systems, Signal
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is a dynamic, close-knit team that develops and applies innovative AI and computer vision approaches for biological image analysis and quantification. As our Senior Scientific Software Developer, you
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
telecommunication systems. Within the ESAT department this position will be linked with STADIUS Center for Dynamical Systems, Signal Processing, and Data Analytics. STADIUS excels in combining
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Position Description About the Job The Department of Electrical and Computer Engineering at the University of Minnesota Twin Cities invites applications in three areas: (i) Computer Engineering, (ii
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: Job Requirements: Required: PhD in computer science, biomedical informatics, electrical engineering , or a related field Demonstrated expertise in machine learning, deep learning, and image-based
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OSU | about 2 months ago
: Job Requirements: Required: PhD in computer science, biomedical informatics, electrical engineering , or a related field Demonstrated expertise in machine learning, deep learning, and image-based