328 postdoc-in-thermal-network-of-the-physical-building PhD scholarships in United Kingdom
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of the student’s project and allow them to network. The partners will also be able to offer the PhD student the opportunity of placements, during which the student can gain major insights. This would help them
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part of the EU-funded HUM.AI.N-ACCENT Doctoral Network, an interdisciplinary consortium of 13 labs and 24 partners across Europe, Canada, and the US. The successful candidate will benefit from
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of challenges of building large-scale systems. Programming skills in Python. A good Bachelor’s Hons degree (2.1 or above or international equivalent) and/or Master’s degree in a relevant subject (physics
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building blocks to elicit properties far beyond simple averaging over the component materials involved, instead giving exciting opportunities for new functionalities that are not found in natural materials
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modelling software. Practical experience in advanced manufacturing techniques for novel materials. Opportunities to present research at international conferences and build a professional network across
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performance limit of Ga2O3 power devices through finite element modelling (electrical and thermal) and device fabrication aimed at both power electronics and photovoltaics. A self-motivated individual who will
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at international conferences and build a professional network across academia and industry. Development of expertise in cutting-edge experimental techniques, computational modelling, and interdisciplinary
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) under the supervision of Dr. Elina Spyrou . Summary of Project: Power systems are at the core of the transition to net-zero energy systems, and they have to transform in two ways. First, their generation
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elements like Physical Unclonable Functions (PUFs) and True Random Number Generators (TRNGs) to secure hardware components. Embedded Trust Protocols: Design protocols that establish and maintain trust within
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Verification Tools: Develop AI algorithms that automate the verification process, ensuring systems meet required safety and performance standards. Health Monitoring Algorithms: Implement AI-based monitoring