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Engineering (QCE) department is looking for a highly motivated PostDoc candidate who wants to work on efficient and reliable analog CIM-based AI accelerator design for future neuromorphic accelerators
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. The Computer Engineering (CE) section of the Quantum & Computer Engineering (QCE) department is looking for a highly motivated PostDoc candidate who wants to work on efficient and reliable analog CIM-based AI
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of the work is to design a low speed wireless link without using any analog component and to associate tools to identify an IoT module and to detect hardware attacks in real time during the communication
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will be compared to natural prototypes (e.g. in Asia or western North America) and analog models, with emphasis on the implications for structural models needed for energy geoscience. Key skills include
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highly motivated and ambitious junior postdoc to work on the development and application of bone marrow tissue analogs to model and investigate human pathophysiological hematopoiesis.
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at the interface of quantum many-body physics and quantum information science. Specific topics of interest include dynamics in closed and open quantum systems, digital and analog quantum simulation with quantum
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(FR3, MMW, sub-THz/THz) • Extreme massive MIMO communications • Analog, digital and hybrid beamforming architectures • Reconfigurable intelligent surfaces
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Engineering, Biomedical Engineering, Physics, or a related field.- Strong background in high-frequency digital and high-power analog circuit design.Preferred- Familiarity with multinuclear MRI.How to ApplySend
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emerging spectrum (FR3, MMW, sub-THz/THz) Extreme massive MIMO communications Analog, digital and hybrid beamforming architectures Reconfigurable intelligent surfaces Machine learning for wireless
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synthesis of analogs of hit compounds, and SAR studies. A Ph.D. in bioorganic chemistry, medicinal chemistry, or related fields with experiences in synthetic organic chemistry is required. Knowledge in