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/functional materials, wearable sensors, flexible circuits and their seamless integration into textiles/apparel; (c) perform physical, chemical, and electrical characterisations on new materials and wearable
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related areas. EVALUATION CRITERIA The selection will be based on the following criteria: Integrated circuit design courses (30%) Experience with DVFS for RISC-V, LoRaWAN and RTL design (60%) Academic
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of the recruitment and description of the project This position is with the E01 Group (Data Integration & XAI Group; Principal Investigator: Assoc. Prof. Harumi Nishi, Tohoku University) of the MEXT/JSPS
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implicated genes act in neurons and circuits. We use large scale, unbiased, systematic approaches in collaborative multidisciplinary research teams. This postdoctoral fellowship in the Arlotta lab involves
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on open-source processor and accelerator architectures. The role focuses on advancing research in integrated circuit (IC) design and electronic design automation (EDA), with particular emphasis on RISC-V
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. The successful candidate will work on an exciting research project at the interface of developmental neurobiology and circuits neuroscience. They will integrate in-vivo whole cell recordings during postnatal
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classical and quantum approaches and developing new ways to integrate quantum sensors with quantum processors. As a Postdoctoral Research Fellow, you will undertake independent research across quantum
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will contribute to the design, implementation, verification and experimental characterisation of advanced integrated circuits for High Voltage CMOS (HV-CMOS) particle-detector ASICs. The major focus
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of their development and structure. Working closely with colleagues at the Universities of Leeds and Reading, you will integrate theoretical understanding, observational data, and modelling approaches to improve
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, experimental validation, and deployment in novel soft robotic applications. The successful candidate will be required to: • Design and fabricate soft robotic systems integrating fluidic logic with soft