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Associate Software Engineer who will be responsible for working, as part of a skilled technical team, to write and test software in high level languages, and to develop and test signal processing algorithms
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clinicians; (b) support medical clinicians who have developed and continue to sustain an academic career in parallel with their clinical responsibilities; (c) support the ongoing development
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operation. To design optical metasurfaces and material platforms exhibiting time-varying responses. Using adjoint-based optimization and spatial structuring, to realize complex time-modulated medium dynamics
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of performance targets such as efficiency, bandwidth, and multi-condition operation. To design and fabricate reconfigurable metasurface prototypes that implement a global tuning mechanism, and to experimentally
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
organizational, communication, and problem-solving skills, with the ability to manage multiple parallel workflows in a fast-paced environment Comprehensive understanding of scientific research processes
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through stable, accessible, and high-performance data infrastructure. What you will bring (position requirements) Master’s degree in information technology, applied computer science or computer engineering
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, and parallel computing, with a proven ability to work within highly secure and regulated environments. This role involves close collaboration with security teams, scientists, and IT leadership to ensure
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efficiency does not deliver the expected sustainability gains due to changes in system behaviour induced by the introduced efficiency measures. At the same time, parallel activities in the ‘smart home’ realm
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concerns, particularly due to its slow renewability and the ecological impacts associated with peatland degradation and greenhouse gas emissions. In parallel with broader efforts to identify more sustainable
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16.02.2026 Application deadline : 15.03.2026 The Collaborative Research Center (CRC) 1233 “Robust Vision” brings together leading researchers in machine learning, computer vision, and systems