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Postdoctoral Fellow. This position is available to individuals with research interests in neuromorphic computing, IC design, embedded systems, or AI. Successful candidates will hold a terminal degree in
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the development and translation of rehabilitation technologies is strongly preferred. Prior experience with embedded systems or biomechanical evaluation in wearable devices is desired. Special Instructions Contact
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Responsibilities: Conduct cutting-edge research to hetero-design / chiplet-based systems, with a focus on security of components and interconnects across chiplets. Focus on new IC design concepts for embedded ARM
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cutting-edge research to hetero-design / chiplet-based systems, with a focus on security of components and interconnects across chiplets. Focus on new IC design concepts for embedded ARM and RISC-V
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, identify targetable vulnerabilities, and contribute to next-generation precision medicine approaches. With joint supervision from leading professors and embedded in interdisciplinary world-class facilities
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HW/SW Co-Design, FPGA development and hardware prototyping Strong understanding of digital design principles and embedded systems Experience with EDA tools, chip design flows and IC system modeling
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) at the National University of Singapore (NUS) is a leading multi-disciplinary institute devoted to developing new paradigms for understanding biological functions in health and diseases from the perspective of cell
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(1.0 FTE) at our Lincoln Campus. Salary is fixed at $75,000 per annum. Kā tino Pūkeka/Whēako | Essential skills/experience for the role You will have: A PhD in Plant Physiology, Viticulture, Plant
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PhD Research Fellow in Chemistry-focus on Experiments in Chemical Kinetics and Heterogeneous Catalys
the qualification of the applicant and the current needs of the Department of Chemistry. No one can be appointed for more than one PhD Research Fellowship period at the University of Oslo. Place of work is Centre
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the following areas is advantageous: Participation in Kaggle competitions, showcasing practical problem-solving and model development skills Model deployment (e.g., ONNX, TensorRT) Edge computing or embedded