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Field
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living lab approach. Your role will involve employing a broad spectrum of data collection and knowledge acquisition methods, integrating qualitative approaches (e.g., interviews, walk-alongs, focus groups
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included by harnessing high-performance computing (HPC) and employing novel multiscale methods that enable seamless propagation of ultrasound from the macro to microscopic level. The proposed framework will
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(LLMs). Developing methods to improve the safety and robustness of LLMs. Enabling effective collaboration between intelligent agents. The research is funded by NWO (Dutch Science Foundation
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candidate is expected to: Build and evaluate chemical databases based on experimental and computational data. Establish predictive models based on artificial intelligence methods. Utilize the developed models
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. Hydroacoustics is used worldwide in both marine and freshwater environments to estimate distribution and abundance of fish and larger invertebrates and Cornell is at the forefront of the application
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will design and implement novel computer vision and machine learning methods for “sensorized” cameras that extract medically relevant features without transmitting raw video. You will evaluate algorithms
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in context, e.g., reacting to a partner’s gesture, resembling an object they refer to in the environment. Exploring how these models can enhance human-computer interaction and improve our understanding
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proactive approach towards problem solving Knowledge of and experience in general analytical methods development and good analytical practices Maintains a working knowledge of significant developments and
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, so that it can be easily used in practice (fast optimization, embedded decision-making, online updating). 1. Design a lightweight statistical/probabilistic surrogate model, integrating: • an estimation
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enhance human-computer interaction and improve our understanding of multimodal communication. To do so, you will have full access to motion-capture and virtual-reality labs, 3D animation tools, and GPU