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diagnostic protocols. (50%) Performs complex molecular diagnostic techniques and demonstrates competency with pipetting and PCR techniques. (5%) Performs computer data entry, recall, accessioning, receiving
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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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functionalities while restricting control to a single, or otherwise limited, discrete set of tuning parameters, enabling practical global actuation and robust device operation. To design optical metasurfaces and
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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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the portal will be considered. A background check may be conducted as part of the application process. Application deadline: May 1, 2026 Parallel to this recruitment process, Chalmers may propose to nominate
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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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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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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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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