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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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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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(FR3, MMW, sub-THz/THz) • Extreme massive MIMO communications • Analog, digital and hybrid beamforming architectures • Reconfigurable intelligent surfaces
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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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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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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
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, consortium settings, and conferences Supervsing and mentoring Ph.D students Job requirements Ph.D degree in Electronics Engineering, or a related field Experience with analog electronics, IC design and layout
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topics: Waveform design for different RF bands (FR3, MMW, sub-THz/THz) Analog/digital/hybrid beamforming Integrated sensing and communication Reconfigurable intelligent surfaces Hardware-constrained signal