3,169 phd-in-architecture-landscape-built-environment Postdoctoral research jobs in United-States
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. The Department of Romance Studies offers Bachelor’s, Master’s and PhD degree programs in five Romance languages and teacher-training courses for secondary schools in three languages (French, Italian and Spanish
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. The role will report to Dr Sharli Paphitis, Senior Research Fellow in Qualitative Methods, and will be embedded in a collaborative, supportive environment that values participatory and trauma-informed
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Job Description Required Qualifications: (as evidenced by an attached resume) PhD (or foreign equivalent) in Molecular and Cellular Biology or a closely related field. 2 years Postgraduate experience in
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of excellence for research and innovation, providing thought leadership, coordination and translation to impact across the quantum landscape in the UK and beyond. QuSIT builds upon a decade of government
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applications. Develop and optimize electrode materials and architectures, including synthesis and/or surface modification, to improve electrode selectivity and stability. Collaborate with internal and external
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to thrive in a competitive landscape powered by artificial intelligence as a force for good, and an environment for innovation in the life sciences and other high- growth sectors. Together, we envision
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samples and cell culture systems. This position offers a unique opportunity to work within a collaborative, multi-disciplinary environment that spans basic science, translational research, and clinical
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. Broader Research Environment Johns Hopkins offers an exceptional ecosystem for interdisciplinary research: Data Science & AI Institute: Part of JHU's transformative $1 billion investment in data science and
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roots in the California experience, animated by such values as innovation, questioning the status quo, and respect for the environment and nature. Since its founding in 1868, Berkeley has fueled a
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, architectures, and algorithms. Specifically, we investigate energy-efficient computer architecture for machine learning based on novel devices and computing principles, device-aware machine learning algorithms