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terminal degree with deep knowledge of Artificial Intelligence and Machine Learning. Desired Qualifications Ability to help create scalable Artificial Intelligence workflows. Experience in working with
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research groups focused on molecular biosensing for point-of-use applications. To learn more, visit MOBIUS website at https://mobius.org.au/ The primary objective of MOBIUS is to accelerate the growth
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statistical approaches, including the use of AI and machine learning approaches to analyze large datasets. Demonstrate a deep understanding of and commitment to research of health disparities, including
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development through emerging deep learning techniques is of strong interest. The candidate will also evaluate and integrate existing tools and databases into high-throughput pipelines, and facilitate
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, control, and interaction for real-world robotic systems Deep learning, multimodal learning, or large-scale AI systems Demonstrated experience in robot deployment, experimentation, and applied AI development
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assisting with in-situ TEM measurements, facilitating cutting-edge research in sustainability and energy fields. Part of the project will also include the development of deep learning frameworks for TEM image
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: The UC academic salary scales set the minimum pay determined by rank and step at appointment. See the following table for the current salary scale for this position: https://www.ucop.edu/academic-personnel
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., deep learning methods, multimodal AI) for the automatic identification of behavioral cues during ecological interactions with people and the environment and analyses of video and speech/language data
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/unsupervised learning (regression, classification, clustering), ensemble methods, and deep learning architectures (CNNs, RNNs). Experience with explainable AI (e.g., SHAP, LIME) and radiomics preferred
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, labs, and clinical events Apply deep learning and transformer-based approaches to longitudinal EHR data Integrate multi-modal data (EHR, labs, vitals, imaging, etc.) • Position 3: Postdoctoral Researcher