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passionate about applying ML algorithms and developing AI applied research and innovation solutions using classic ML to novel transformer neural networks. We test and measure the real customer impact of each
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the research project to design a mobile DC microgrid controller for military tactical applications. Develop control algorithms for dynamic master selection, coordinating BESS, PV, diesel generators, and other
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
, or other novel/emerging pollutants - Developing / implementing advance machine learning algorithms for environmental datasets - Attention to detail and careful documentation of work products such as How
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of malignancies, blood disorders, and experimental therapies. Job Summary The Data Science, Analyst will will work to maintain and deploy algorithms for accurate detection, segmentation, and classification of cells
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Research Infrastructure? No Offer Description Mission: Provide high-level scientific and technical advice for the line of research in Robot Personalization. Functions to be developed: Supervision
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transport, supply chain and logistics modelling to contribute to the development and use of the MILES (Multimodal Integrated Logistics for Simulation) and MATRA (Multi-Agent Transport Resilience and
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sustainability. The selected researcher will contribute to the development of predictive models and machine learning algorithms for data analysis from plant-based sensors, multispectral and thermal imagery, and
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machine. We develop quasi-Newton coupling algorithms for partitioned simulation of FSI, and we solve challenging FSI problems in the energy transition and in industry. This research is often in
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-precision localization and radar-based sensing. You will develop adaptive algorithms that dynamically select the optimal radio configuration based on the specific requirements of each application. The radio
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responsibilities will span all stages of research, including collecting data of in both tabular and spatial formats, developing algorithms that clean and organize data, conducting statistical analyses, running