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About the role Applications are invited for a Research Fellow position within the Faculty of Engineering, University of Nottingham, contributing to cutting-edge research in thermal energy storage
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). The selected candidate is expected to work on: • physical, thermal and circuit-to-system modeling, design exploration, architecture and validation/testing framework • high-level exploration and modeling
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, addressing power integrity, thermal management, and chip–package interaction challenges. c. Supervise and mentor junior researchers and graduate students working on BS-PDN design, modeling, and advanced
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which involves preparing 2D materials and porous materials for nanochannel fabrication. Comprehensive analysis of materials including density measurement, microstructure analysis and mechanical/thermal
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thermal and plasma-enhanced ALD tools, precursor chemistry, and in-situ/ex-situ film characterization. • Strong background in semiconductor device physics, transistor electrostatics, and short-channel
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aging protocols and stressor–response relationships (UV, thermal, moisture, electrical bias, mechanical) Working knowledge of PV characterization techniques (e.g., electroluminescence/photoluminescence
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execute physicochemical and biological processing strategies for protein enhancement, including thermal (UHT, ohmic heating), non‑thermal (ultrasound, high‑pressure homogenisation, microwave, pulsed
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characterizing biopolymers; - Laboratory preparation of polymeric formulations with different biopolymers and plasticizers; - Chemical, mechanical, thermal, and morphological characterization of biopolymers
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of performance. The work will particularly focus on the interaction between refrigeration systems with the controlled thermal environment that can vary across cold storage and distribution and food retail
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. Familiarity with multimodal sensing technologies, including RGB imaging, thermal imaging, 3D vision, or other non-destructive inspection methods. Experience with edge AI, real-time inference, or MLOps