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knowledge, communication, organization, computer skills), and work experience; highlighting experience in research data management, data curation, and application of FAIR principles; More information https
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 1 day ago
machine learning, computer systems and software, and theoretical foundations of computing. We span traditional and modern thinking, connecting decades of computer science methodologies with modern data and
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with expertise and experience in (1) Generative Modeling, (2) Multimodal Learning, (3) Generative AI and Computer Music, and (4) Efficient AI. Duties The appointees will be required to: (a) conduct
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research internships. Criteria of the candidate: PhD in the field of Cryptography, Computer security or any related field. Strong publication record in high impact conferences / journals. Very good
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disciplines such as neuroscience/cognitive science, AI and machine learning, robotics, engineering, computer vision, and signal processing. Details of this year’s workshop are at https://sites.google.com/view
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PhD student will expect to develop some experience in developing power systems models using a range of computer languages and tools (e.g. Python, MATLAB, OPNET, etc), ideally for applications involving
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(e.g., tensor or multi-modality data). Work with other researchers and PhDs to develop AI applications related to image processing, computational imaging as well as computer vision. Lead a team of junior
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includes the following tasks: Develop computer-aided design software for modular construction of switchable RNA nanostructures. Develop databases for RNA modules for automated building of atomistic models
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supporting applications of AI to problems in biology, medicine and health care. Robert L. Grossman, PhD is the Frederick H. Rawson Distinguished Service Professor of Medicine and Computer Science and the Jim
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., Mendoza, M., Vetter, R., & Herrmann, H. J. (2016). Particle-Fluid-Structure Interaction for Debris Flow Impact on Flexible Barriers. Computer-Aided Civil and Infrastructure Engineering, 31(5), 323–333