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designing and conducting experiments, developing and integrating photoacoustic and ultrasound systems, validating technologies in animal models, and performing quantitative data analysis and computational
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computational architectures for foundation models, explore embodied AI approaches, and pioneer self-improving methodologies that push the boundaries of intelligent systems. Key Responsibilities: Lead
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. Experience in multiscale modelling approaches would be highly desirable. The successful candidate will integrate computational structural biology approaches with experimental data, including X-ray
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• Possess a PhD in Travel behaviour, Management, Economics, Statistics, Psychology, or related disciplines. • Has good understanding of discrete choice experiments and model estimation
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 4 hours ago
the regulatory science of targeted therapies, including peptides and oligonucleotide therapeutics (ONTs), through the integration of nonclinical safety data evaluation and Model-Informed Drug Development (MIDD
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• Simulations abilities (e.g., Isaac Lab, ROS Gazebo) • Experience with implementation of deep learning model on aerial robots is preferred • Experience publishing papers, and supervising
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for developing context-aware small language models for a human-robot interaction system. As a Research Assistant, you will play a pivotal role in advancing our research initiatives by developing, testing
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genomics with advanced computational and AI approaches to develop biologically interpretable clinical models. The study has two complementary aims: Multi-omics discovery in solid tumors - Discover disease
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experimental and computational models. The doctoral candidate will develop three-dimensional printed models of diseased aortic valves and play a central role in the further development and validation of a
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developing representations, using neuroimaging with fMRI and OPM-MEG, and to model the developmental process using computational models from AI. The project aims to better understand infant cognition, develop