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position in quantitative developmental and family systems methods. Competitive candidates will have expertise in measurement, latent variable modeling, or novel data integration approaches. Particular
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and ambiguity function processing Familiarity with time-, frequency-, and amplitude/phase-difference of arrival for geolocation Understanding of adaptive signal processing methods and techniques (Kalman
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and ambiguity function processing Familiarity with time-, frequency-, and amplitude/phase-difference of arrival for geolocation Understanding of adaptive signal processing methods and techniques (Kalman
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formal project documentation Execute assigned work in accordance with written and verbal instructions while proactively identifying and communicating technical issues and risks Provide regular project
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QUALIFICATIONS Doctoral degree (PhD, DrPH, ScD, or equivalent) in Epidemiology, Nutrition, Biostatistics, or a related field. Training and experience in epidemiologic research methods. Experience working with
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intelligence, machine learning, deep learning, large language models, predictive analytics, or related methods, including application development in Python and experience with modern AI/ML frameworks such as
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transitioning military members to apply. You will: Use accepted methods and techniques, design, develop, and implement of RF propagation models including environmental effects such as space weather and
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research tasks including but not limited to designing, developing, and conducting laboratory assays; developing appropriate research methods; data collection and analyses, etc. under general direction
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experimental methods. • Maintain and experimentally manipulate primary and immortalized keratinocyte cultures and other relevant epithelial model systems. • Analyze microscopy, molecular, and functional
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methods and devices to connect platforms in the undersea domain, as well as bridge to above the sea-air boundary, support tethered and untethered communication techniques between stationary or moving