1,398 phd-sandwitch-in-architecture-and-built-environment positions at University of Michigan
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looking for an ambitious, audience-savvy Senior Environment Reporter to lead our multiplatform coverage of Michigan's environmental issues. From climate change and water resources to pollution, forests, and
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communities and built environments. We will approach resilient design and climate positive architecture from an interdisciplinary perspective. The course will present a range of case study examples
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School is expanding its research team and is in search of a skilled and diligent Data Architecture & Research Area Specialist Associate. Supervised by the principal investigator and mentored by senior
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to the impacts of digital technologies on our built environment and the power inequities they often entangle. Technologies from `smart? objects to `smart? cities are reshaping our world and our selves
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, policy and standards as they relate to the M365 architecture or service and design principles. Support governance, security, and compliance initiatives within Microsoft cloud environment and provide
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talented, energetic, multi-disciplinary postdoctoral researchers, senior graduate students, and undergraduate research trainees who create the vibrant and intellectually stimulating environment of excellence
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systems, 3rd parties tools and collaboration with campus partners. Following Agile development processes, we aim to delight our clients with the innovative solutions and services purchased or built by UMSI
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the data architecture, connections, and infrastructure for both MO and custom-built learning solutions. Assurance Squad - Responsible for ensuring quality, accessibility, and platform stability across all MO
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, PhD, etc.) Expected date of graduation (MM/YYYY) Umich email address Student ID # Only students who have satisfactory academic performance are eligible for a GSSA position. Satisfactory academic
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medical, dental and vision coverage effective on your very first day 2:1 Match on retirement savings Responsibilities* Researching and developing novel machine learning architectures for integration across