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stewardship. In parallel, the role supports the development, implementation, and ongoing maintenance of CBA?s data framework, visualization platforms, and Salesforce environment, maintaining accurate
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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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initiative integrates innovative programs in health-system–scale genome-informed care; clinical natural language processing and large language models for clinical data capture and communication; and hospital
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State University of New York University at Albany | Albany, New York | United States | about 22 hours ago
vibration isolation). In parallel to the benefits of quantum computing, artificial intelligence and neuromorphic computing seek to emulate the massively parallel, highly efficient computing capacity
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Université Paris-Saclay GS Life Sciences and Health | Saclay, le de France | France | about 1 month ago
vocal processes depend on auditory-guided motor learning during a sensitive period of development, and exhibit many parallels at the behavioural, neural, and genetic levels. Their acquisition 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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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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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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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