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Children's Cancer Center. The Postdoctoral Associate will finish experiments, data analysis, and manuscripts related to the IL18 mediated enhancement of CAR NKT anti-tumor activity project. The ideal candidate
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simulations), computational chemistry, machine learning, enhanced sampling methods, force field development, or related fields are encouraged to apply. Start date is flexible. the postdoc will collaborate with
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knowledge in one or more of the following areas is desirable: 3D scene reconstruction and machine learning, visualization, hardware-accelerated simulation Our range of services: Promotion of own scientific
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-directed T cell therapeutics, including chimeric antigen receptor (CAR) engineered T cells. Our research employs a diverse range of in vivo and in vitro models, including state-of-the-art non-human primate
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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for cognitive science and artificial intelligence, including about 35 PhD students. Core research domains include cognitive science, machine learning, deep learning, games, virtual reality, computational
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 7 hours ago
, repeatable coverage of fire-prone regions. When combined with modern statistical and machine-learning approaches, these data enable robust mapping of fuels, assessment of burn severity, estimation of biomass
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metrics. - Uso de técnicas de aprendizaje máquina/profundo y técnicas de segmentación aplicado al procesamiento de imágenes y vídeo / - Use segmentation and machine/deep learning techniques applied to image
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York University Abu Dhabi seeks to appoint a research assistant. Applicants with backgrounds in computer networks, web, internet measurements, satellite, AI and machine learning, or related fields
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focused on the challenge of accelerating ternary neural networks using FPGA devices. The successful candidate will have significant experience in machine learning, FPGA design and an outstanding track