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of molecular data. While machine learning has transformed fields such as computer vision and natural language processing, the molecular life sciences remain a rich frontier for methodological innovation
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design, alignment, operation, and advanced characterization techniques, including laser-based and imaging setups. Competent in scientific programming and data analysis (e.g., Python/Matlab), with strong
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to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including AI and machine learning (ML), to help solve complex agricultural problems that also depend
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, computer graphics, and embodied AI, including physics-based simulation, character animation, motion synthesis, and learning-based control for humanoid systems. Key Responsibilities: Conduct independent and
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including: epidemiology, gerontology, social determinants of health, social and clinical psychology, environmental health, genetics and epigenetics, biostatistics, natural language processing, and machine
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or human-computer interactions studies. The focus of the PhD-thesis needs to contain knowledge areas such as learning theory, cognitive theories with applications on studies of learning, design of learning
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diabetes. Using primarily human isolated islets and living pancreatic tissue slices, we combine advanced confocal time-lapse imaging with dynamic perifusion assays to investigate cellular signaling, cell
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learning-assisted computational pipeline for the automated detection of point defects in atomic-resolution scanning transmission electron microscopy (STEM) images. Using monolayer MoS₂ as a model system, the
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reviews. Publish research findings in top-tier journals and conferences in relevant fields (e.g. human-computer interaction, human factors, ATM). Contribute to research proposals, technical documentation
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), including ultrafast imaging and nanomechanical measurements of biological samples. Our goal is to develop advanced AFM technologies and use them to uncover previously unresolved biological phenomena