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Field
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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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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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(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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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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on integrating an agentic platform for electrocatalyst discovery and developing novel machine-learning algorithms (e.g., reinforcement learning) for materials discovery and process optimization. The candidate will
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control, and performance optimization. Proficiency in data analysis and problem-solving, with the ability to evaluate device performance using analytical and visualization tools. Ability to work in
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topology optimization, generative design, and bioinspired design, SC3DP creates optimized products using a variety of novel materials and printing processes, including hybrid printing, post-processing, and
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 10 hours ago
regression, principal component analysis, and artificial neural networks — to determine optimal modeling frameworks for high-dimensional in vitro data generated by platforms such as organ-on-a-chip systems and
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for back-end-of-line (BEOL) integration with CMOS. Key responsibilities include: • Develop and optimize ALD processes for oxide semiconductor channel materials (e.g., IGZO, ITO, IZO) and BEOL-compatible