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integrated circuit and system design, where theoretical studies of system-level requirements as well as circuit design and verification of advanced architectures are included. Efficient implementations
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Networks on GPUs. By optimizing code generation using GPU architecture, we will create more efficient ANNs on GPUs achieving higher inference and training performance. These faster networks will be use in
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, the position may include development of various other device architectures for nanoscale energy harvesting applications. The PhD student is expected to work independently as well as in close collaboration with
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. Neurodegenerative diseases are complex and multifaceted. The overarching goal of the project is to develop advanced statistical models and deep architectures that can contribute to improved ability to diagnose
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simulations to have the full characterization of the structure of micorgels under flow at interfaces. The main objectives of this project are: (i) Probe the shape and architecture of individual microgels under