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an outstanding and ambitious postdoctoral researcher in computational biology to pioneer understanding and modeling of tissue architecture using single-cell and spatial transcriptomics data. The focus will be
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the Department of Electrical Engineering at Yale University is seeking a Postdoctoral Research Associate to perform research on RF and analog compute architectures for next-generation sensing and wireless systems
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the mentorship of Dr. Ying Wang in the Department of Biomedical Informatics, the scholar will investigate the genetic architecture of disease onset, progression, multimorbidity, and clinical outcomes using large
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checks with advanced machine learning architectures, specifically Long Short-Term Memory (LSTM) networks and Variational Autoencoders (VAEs). The researcher will use historical QC archives dating back
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evaluate scalable readout architectures for nanowire arrays, including multiplexing approaches based on superconducting cryogenic switches such as hTron and fTron Perform low-noise cryogenic measurements
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collaboration with researchers in Electrical Engineering working on emerging memory architectures and novel computing paradigms, providing a unique opportunity to contribute to mathematics with a clear
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architecture of entirely new foundation models, directly advancing the frontier of computational biology and machine learning. You will also implement parallel systems capable of training such models across
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this role, you will deeply understand the physics and operation of cryogenic scanning transmission electron (cryoSTEM) microscopes, and apply this understanding to design the architecture of entirely new
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fundamental research in physics-informed and symmetry-aware machine learning for nonadiabatic excited-state molecular dynamics. Develop and evaluate equivariant graph neural networks and related architectures
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Correction Circuits Design of parametric processes and quantum control of driven non-linear quantum devices Quantum computer architecture, hardware- and noise-aware compilers Computation with Dynamic Circuits