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Field
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to apply that expertise at the scale of the entire published literature. We’re here for the same mission, to bring science solutions to the world. Join our team and YOU will play a supporting role in our
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Royal Naval College, Greenwich, you will be part of an expansion of our world-leading Multi-Disciplinary and Multi-Scale Modelling team (M34Impact). As part of this expansion, you will contribute
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modelling approaches. The position focuses on holistic catchment-scale studies and the development of scalable methods for monitoring the state, changes, and interactions of terrestrial and aquatic ecosystems
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Royal Naval College, Greenwich, you will be part of an expansion of our world-leading Multi-Disciplinary and Multi-Scale Modelling team (M34Impact). As part of this expansion, you will contribute
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a Postdoctoral Associate to contribute to a multi-year, collaborative research program focused on adapting, implementing, and evaluating a combination intervention to advance the goals of Ending
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with BIG DATA (eg. NGS data in multi-TB scale). Experience using genome alignment software (bowtie2, bwa, tophat, etc.) is desired. Fluent in one programming language (Python, C, C++ or Java) and
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, ASV, ROV, docking station) 2. Select and integrate embedded computing optimized for real-time vision/AI 3. Develop multi-platform energy management, depending on consumption profiles and defining
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, thermal management, and chip–package interaction challenges. e. Manage the generation, preprocessing, and analysis of large-scale multi-physics simulation and design datasets related to BS-PDN
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and detector structures, including thin-film deposition, lithography, etching, wafer- or chip-scale process flow optimization, and materials/device characterization. The Research Fellow will also
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• Conduct multi-scale multi-physics numerical simulations, e.g. simulation of thermal environment and airflow movement at the city, district and neighbourhood scales; • Publish the research findings on top