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evaluation. We are looking for an individual with a desire to embrace the complexity of digital health implementation and data-driven predictive modelling in low-resource settings with passion, resilience, and
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enhance provincial capacity to tailor care approaches in response to the ongoing substance use crisis. The ideal candidate will have a passion for integrating multiple sources of quantitative data and a
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, acousto-optic deflectors), free-space and integrated optics, optomechanical systems. Solid background and analytical skills in experimental quantum physics, as needed to efficiently collect and analyze data
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to the ongoing substance use crisis. The ideal candidate will have a passion for integrating multiple sources of quantitative data and a drive to explore new areas of inquiry critical to transforming the quality
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the US Naval Observatory. For more information on the department, see http://physics.gmu.edu. George Mason University, a Carnegie Research I institution, is Virginia's largest and most diverse
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; Have extensive knowledge and hands-on experience on genetic parts assembly, pathway engineering, microbial strain engineering, fermentation, recovery and analytics of targeted metabolites; Have the
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and marketing tools to empower the field commercial team with accurate product knowledge. Gain experience and skills to leverage business insights and analytics to build brand strategy based on its life
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and mooring system design. Strong analytical skills and familiarity with data collection instruments and techniques. Excellent communication and report-writing abilities. Good understanding of industry
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to independently plan, multi-task and complete projects. Ideally, the fellow will be expected to design and execute experiments, analyze data, write and prepare independent grant applications and manuscripts
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participant, you will join a community of scientists and researchers at the (HQDA), G-9, (DPRR) in an effort to establish an Army-wide prevention system that facilitates data-informed actions to integrate