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Field
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, control strategies, optimization methods and algorithms, data analysis and machine learning techniques, techno-economic study, design and analysis of integrated systems. Experience with energy system
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therapeutics. As a successful candidate, you will: Key areas of investigation include: Molecular and cellular regulation of natural killer (NK) cells. We study the mechanisms that control NK cell development
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, plant water/nutrient hydraulics, chlorophyll fluorescence, and root system architecture adaptation. Controlled (greenhouse/glass house/growth chambers) and field research experience. Comprehensive
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. Scale and optimize fabrication and cryogenic testing workflows. Characterize detector and system performance, including detection efficiency, dark count rate, timing jitter, and yield. Develop packaging
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(EMT) simulations. Evaluation of grid control strategies for increasing PV hosting capacity, including active/reactive power control, voltage management, reactive power compensation (SVC/STATCOM), energy
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sector coupling across electricity, heat, and fuels, including Power-to-X pathways (e.g., hydrogen and synthetic fuels). Design and apply advanced optimization and control methods, including model
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electronics-free and hybrid soft robotic intelligence through fluidic computation, enabling soft robots to perform programmable control, memory storage, communication, decision-making, and autonomous behaviours
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Organization Centers for Disease Control and Prevention (CDC) Reference Code CDC-2026-0095 How to Apply To submit your application, scroll to the bottom of this opportunity and click APPLY. A
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. The successful candidate will lead efforts to develop novel electrical readout, control, and sensing architectures that complement or potentially replace conventional optical detection methods. The research will
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evaluate protein variation and predict maize–fungal protein interactions, connecting host and pathogen variation with disease outcomes and targeted disease- and mycotoxin-control strategies. Learning