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macular edema (DME), with potential expansion to other retinal indications, through network meta-analysis and patient matching methodologies applied to historical and recent clinical data. The participant
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. The successful candidate will contribute to AI-powered analyses of single-cell and spatial omics to advance precision medicine. Dr Chen’s research team develops AI algorithms for spatial and single-cell omics
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for measurement challenges (e.g., for small-sample calibration or for accelerated algorithms), (b) identifying and investigating aberrant response behavior (such as rapid guessing, cheating, or careless responding
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data-driven analysis algorithms for the assessment of thin-film solar cell fabrication processes within NOMAD Oasis installations. The team is responsible for the installation and development of (meta
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macular edema (DME), with potential expansion to other retinal indications, through network meta-analysis and patient matching methodologies applied to historical and recent clinical data. The participant
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large language models for measurement challenges (e.g., for small-sample calibration or for accelerated algorithms), (b) identifying and investigating aberrant response behavior (such as rapid guessing
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the Laboratory for Interaction of Machine and Brain. The scholar would be a part of a research program funded by Meta at the intersection of neural engineering, human–machine interaction, ethics, and
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); execute PoCs and tech transfer with foundries, equipment/materials/metrology vendors. Data & Platforms: Establish robust data governance and MLOps pipelines; develop reusable algorithms and prototype
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++, Python, and JavaScript languages, multi- and many-core SoC, RISC-V, hardware synthesis, hardware-software co-design, (meta-heuristic) optimization algorithms, machine learning frameworks, (bonus topics