1,001 network-coding-"Chung-Ang-University"-"Chung-Ang-University" Fellowship positions
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- “Fiber route estimation for optical networks in metropolitan areas based on DAS signal analysis”. Qualifications Applicants should have a doctoral degree plus at least three years of postdoctoral research
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fundamental understanding of droplet flow on single and complex fiber networks. Essential to the project is the development of a new understanding of capillary flow, drop impact, and wetting in fibrous networks
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ongoing development of communication updates for web, social media and networking Promote equality and value diversity, acting as a role model and fostering an inclusive working culture Support the work
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systems, with emphasis on criteria for robustness, reliability, and stability. Topics of interest include the study of symmetries and equivariance and their implementation in deep neural networks
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units in neural networks, which drive both artificial and natural intelligence. Current projects span a wide range of topics in deep learning theory and theoretical neuroscience. For more information and
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inflammatory bowel disease (IBD) which is located on chromosome 5. The associated locus lies within an uncharacterised long non-coding (lnc)RNA and exhibits strong activation-dependent enhancer activity in
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, policy, energy conversion, new business models, techno-economic and life cycle analyses, machine learning, optimization, AI, intelligent networks, among others. The PDF will join a project in collaboration
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methods will include training with data from Africa not normally available for routine forecasting, and we will explore the value of local optimisation or fine-tuning of foundation codes. Handling spatio
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with a wider interdisciplinary research team Participate in wider networks, including the Adult Social Care Cluster and DEMCOMM programme events Main Duties The responsibilities may include some but not
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. The fellowship period is 3 years. The project will provide a fundamental understanding of droplet flow on single and complex fiber networks. Essential to the project is the development of a new understanding of