261 machine-learning-and-image-processing Postdoctoral research jobs at Nature Careers
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-resolution in vivo imaging A collaborative, interdisciplinary environment in the Department of Pathology and Laboratory Medicine Active, well-funded projects addressing critical gaps in neurovascular research
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Michael Bronstein, AITHYRA Scientific Director AI and Honorary Professor of the Technical University of Vienna in collaboration with Ismail Ilkan Ceylan, expert in graph machine learning, invites
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computational framework, integrated with deep reinforcement learning (DRL) methodologies for both gene-level and edge-level perturbation control, represents a significant advancement in the computational toolkit
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of termination, with a major focus on quality control processes, including mRNA surveillance and ribosome-associated quality control. Required qualifications include a Ph.D. in Molecular Biology/Molecular
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Post-doctoral Research Fellow Level 1 or 2 in Microbiology Imaging, UCD School of Chemical and Bioprocess Engineering, 18 months Applications are invited for a temporary post of a Post-doctoral
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Postdoc "Interferometric SAR Data Processing and Analysis for Implementation in the 3D-ABC Founda...
remote sensing SAR image sets Experience in programming and in automation of image data processing Interest in the development of interferometric SAR data sets for large-scale AI and FM training Basic
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and explainable hybrid Artificial Intelligence, i.e., the mix of formal knowledge representation and reasoning with sub-symbolic data-driven machine learning approaches, to work on car-driver digital
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vision, IoT sensors, and blockchain to monitor food quality, safety and animal welfare in real-time and enhance transparency. AI and machine learning will analyse data from pilot sites to identify
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have experience in computational neuroscience and data mining using machine learning methods. The successful candidate will lead an independent research project dedicated to identifying abnormal neuronal
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If you have extended experience in imaging and imaging analysis from two- and three-dimension (3D) cell culture and your aspiration is to be at the forefront of system biology and single-cell