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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
computer vision and/or audio(-visual) machine learning (e.g., multi-object tracking, speaker/source localisation, multimodal fusion). Experience with deep learning frameworks (PyTorch or equivalent) and
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initiatives. Working with the Hastings Advisory Committee to further develop the Initiative. Supporting the Initiative’s Director in administrating the Initiative Developing the Scholar’s own research program
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by Dr. Tim Pleskac (cognitive and decision modeling) and Dr. David Crandall (computer vision and AI). The postdoc will lead the development, integration, and testing of computational models of decision
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prostate cancer therapeutics. Outstanding U of A benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; U of A/ASU/NAU tuition reduction for the employee and
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Collaborative Research in Computational Neuroscience (CRCNS) grant and will focus on computational approaches to understanding neural systems and brain function. The successful candidate will be jointly
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benchmark the developed framework using project data, high-fidelity simulations including hardware in the loop, and relevant industrial case studies, assessing its robustness and computational performance
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Infrastructure Computer Vision Data Analytics for the Built Environment You should possess: A completed PhD in a relevant discipline. Strong research expertise in digital engineering and built environment research
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of ORNL researchers with various backgrounds (e.g., material science, neutron science, chemistry, manufacturing, computing, others). Interact and collaborate with researchers from universities, national
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will contribute to innovative research in theoretical chemistry, advancing our understanding of physical and chemical processes in complex systems. Our research program combines the development of novel
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: This position is part of an extramurally well-funded research program and offers excellent opportunities to contribute to high-impact publications and to develop an independent research trajectory, including