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on the Flatiron Institute’s website here: https://apply.interfolio.com/179050 . The incumbent will split their time between teaching (50%) at the Graduate Center and conducting research at CCA (50%). At the end
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techniques; large data processing and high performance computing; advanced causal inference and statistics; computer vision and novel applications of machine learning. Advanced knowledge of R or Python is
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emphasis on applied machine learning, artificial intelligence and experiential network addressing the business challenges in the industry. Instructional areas include, but are not limited to, analytics, with
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a PhD or MD/PhD degree in Electrical, Biomedical or Computer Engineering, Mathematics, Computational Biology, Bioinformatics, Artificial Intelligence, Computer Vision, Computer Science, or Statistics
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factors. Though not required, we are particularly interested in applicants who use advanced quantitative methods, including computational modeling, machine learning, and/or analyzing structural and
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including vacation and sick leave Comprehensive insurance options including health, dental, vision, and life insurance Learn more about working at UNL: https://go.unl.edu/aboutus As an EO employer
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learning, computer vision, natural language processing, biocomputation, nueral networks, generative artificial intelligence, or mathematical modelling who can: Conduct high-quality research, evidenced by
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Contribute your computer vision
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junior research team members (including undergraduate research trainees). Qualifications ● PhD in computer science, bioinformatics, data science or similar, with a focus on machine learning
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, intelligent vehicles / robotics, acoustics and signal processing, computer vision. Demonstratable experience in applying Deep Learning, using PyTorch, TensorFlow, JAX on real-world sensor data. Experience with