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vibration, strain, and environmental sensors with MCU-class edge AI capabilities. Optimize sensing front-ends, power management, and communication interfaces for minimal standby and inference energy. On-chip
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species annotations, climate, and topography, into deep learning algorithms. Test deep learning models (Transformers and CNNs) for optimal accuracy using large datasets that include over 110,000 tree
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, you will design, prototype, and optimize advanced simulation algorithms—particularly in the domain of cloth and deformable materials and contribute to our next generation of rendering and learning-based
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, investigations and optimization of hydrogen production via methane pyrolysis for decarbonization of industrial high-temperature processes with potential for negative carbon emissions. Your tasks Setup
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(LLE), and diffusion coefficients—key data for designing and optimizing chemical processes. Because conventional experiments are often time- and resource-intensive, particularly for multicomponent
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, Human-Robot Interaction, Imaging Technology, Machine Learning, Medical Informatics, Medical Robotics, Natural Language Processing, Neuroinformatics, Optimization, Perceptual Inference, Probabilistic
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limiting factor to further enhance or optimize viral tropism. In this collaborative project, we explore new ways to adjust this equilibrium so the on/off rates of viral vectors brought in proximity to target
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. Ensuring a safe and efficient laboratory environment, primarily at BSL-1 with potential work at BSL-2, by following safety regulations, collaborating with team members, and optimizing workflows.
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on microfluidic and physical principles, fabricate & optimize using state-of-the-art microfabrication techniques and characterize chip performance (fluidics, mechanics, and reproducibility). Method development
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of collaboration with an industrial partner who will evaluate materials in device-relevant conditions. Job description Design, develop, and optimize efficient synthetic routes to organic molecules relevant to flow