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of the developed process will be explored through parallel screening and the selectivity of the catalysts refined through subsequent rounds of catalyst design. The successful candidate will work within the
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explored, with the aim of identifying effective strategies that reduce gaseous losses during the storage period. In parallel, the study will focus on the creation and optimisation of new forms of agronomic
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to enable massively parallel processing of ABMs on NVIDIA graphics processing units (GPUs), without the need for specialist understanding of GPU programming or optimisation. This project will explore
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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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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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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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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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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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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