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This PhD project focuses on strengthening network security for large-scale distributed AI training. As training increasingly spans multiple data centers connected over wide-area networks, it
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value the contributions that a balanced age and gender distribution as well as ethnic and cultural diversity bring to the organization. Application The application is to be completed online. Please submit
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value the contributions that a balanced age and gender distribution as well as ethnic and cultural diversity bring to the organization. Application The application is to be completed online. Please submit
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basidiomycetous fungi. The project will focus on the spatial and temporal distribution of the soma and germline, and the mechanisms determining their separation. The project will have a strong emphasis on molecular
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machine unlearning. Machine unlearning strategies that balance the tradeoff between privacy and utility in continual, federated, and distributed settings. Your primary responsibility will be to conduct
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strategies that balance the tradeoff between privacy and utility in continual, federated, and distributed settings. Your primary responsibility will be to conduct original, high-quality research in trustworthy
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and techniques for calculating both classical and quantum Fisher information. Future directions may include applications to quantum sensing with mechanical resonators or distributed networks of quantum
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, and other ML methods for analyzing and discovering patterns in probability distributions in latent space. Qualifications We seek an experienced and driven individual who collaborates well and thrives in
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. They involve high-stakes decisions with important trade-offs and uncertainties. They are also challenged by the data sampling process which gives rise to distribution shifts when comparing past and future data
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the following research areas providing a template for relevant directions: Research Topics: -Distributed task planning and navigation for collaborative manipulation -Motion planning for non-circular unsymmetric