164 phd-in-architecture-interior-design-built-environment positions at UNIVERSITY OF SOUTHAMPTON
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This is an exciting opportunity for an experienced lecturer to play a pivotal role in the delivery of the MA Communication Design course at Winchester School of Arts. We are seeking a driven
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cost savings in aerospace manufacturing. We aim to develop a life cycle-informed design approach that enables rapid assessment of the cost and environmental impacts of recyclable and recycled materials
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-intensive universities. Our research-intensive environment and international student body provide a rich ground for interdisciplinary thinking and making at the nexus of art, science, technology, and culture
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cognition and emotion processing. We invite applications from individuals with a background in human experimental psychology (participant recruitment, experimental testing, data analysis) and with a PhD in
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: Plan and carry out research in TRXPS. Data analysis (e.g., Data visualization and fitting transient data). Manuscript preparation and presentation of results at national and international meetings
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, as well as photonics device design and characterisation. You will have the opportunity to thrive in a university environment, supporting the development of future technologies. You will be encouraged
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spectroscopic methods to study photochemical processes. Essential Duties and Responsibilities: Plan and carry out research in TRXPS. Data analysis (e.g., Data visualization and fitting transient data). Manuscript
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and gain valuable, transferable skills in technical project management, as well as photonics device design and characterisation. You will have the opportunity to thrive in a university environment
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including demand & emissions reductions and their future projections for various projects in the built environment. Undertake coordination of research including field work and projects’ outcomes with internal
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should have, or be expecting soon to receive, a PhD in Mathematics, or related field, with demonstrated research experience in the mathematical foundations of AI, as well as substantial programming