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of Computer Science) is currently seeking a Predoctoral University Assistant ("PhD student") in the Big Data Algorithms Group headed by Sebastian Forster. The goal is to develop algorithms for solving clustering
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computing, edge computing, service computing, and distributed storage systems. Design and develop novel algorithms and system frameworks for cost optimization, latency reduction, auto-tiering, caching, and
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healthcare application needs to analyze sensitive patient data across distributed nodes. Researchers and students can explore privacy-preserving algorithms and technologies like federated learning and zero
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generalized parton distributions (GPDs). A key component of the PhD will also involve the development of novel algorithms designed to overcome current computational and theoretical challenges in hadron
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approach makes it easier to identify different local optima using sampling mechanisms. In stochastic optimization, distribution estimation algorithms (EDA) are an alternative approach to traditional
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to lead development of advanced radar sensing capabilities supporting national security missions. This role focuses on designing and evaluating radar signal processing algorithms, developing sensing
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Assistant Professor - Full-Time SCI-Computer Science - Pennsylvania-Pittsburgh - (25006623) Tenure-Stream Assistant Professor for Quantum Algorithms As the University of Pittsburgh’s newest school
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, control, and planning algorithms under environmental constraints. - Implementation of distributed simulation architectures (client-server, remote computing). - Analysis of simulation data and comparison
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delivery of technical objectives. 6. Serve as the technical authority in radar/RF sensing, guiding architecture, algorithm development, and system design decisions. 7. Lead development and evaluation
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consumption of UAVs. A distributed ML algorithm based on Liquid State Machines will be designed to adaptively optimize resource assignment and UAV positioning. WP3: Algorithms Validation and Use Case