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are looking for applicants that have been awarded a PhD in architecture or a closely related discipline within the last three years (dated from the application deadline) and are developing a substantial profile
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architecture, building technology, and mechanical engineering. Have a degree in any of the following fields: architecture; building science; mechanical engineering. Possessing a Master’s or PhD degree will be
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architectures for deep learning. Deploy your models onboard robotic systems. Publish your findings at top-tier venues. Disseminate your research findings at national and international workshops and conferences
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research track record and hold a PhD (or equivalent) in a relevant field or have demonstrated the impact of their work through creative practice and dissemination. Candidates are invited to consult
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fields: architecture; building science; mechanical engineering. Possessing a Master’s or PhD degree will be advantageous with prior experience working in the architecture and/or sustainable building design
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the areas including: emerging hardware architectures (weak memory, RDMA, persistent memory, CXL); formal modelling, verification and/or logic; interactive and automated tools, such as theorem provers and
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to work on Liaise with co-I from NetaTech and Tohoku University to apply the in-house developed light conversion film on the architectural design and system used for the UmFm. Taking care of the day to day
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-of-the-art neuromorphic compute architectures. Collaborate with the neuroscience, engineering, and computer science RAs to develop demonstrator applications, and to conduct research, publish, and disseminate
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, which means the thesis must be submitted by the role’s starting date) in an appropriate field (e.g. architecture, civil engineering, energy, energy in buildings, community energy). PhD equivalence is
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a degree in any of the following fields: architecture; building science; mechanical engineering. Possessing a Master’s or PhD degree will be advantageous with prior experience working in