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research projects in aquaculture (e.g., health monitoring, yield prediction, system optimization) and/or drug delivery (e.g., predictive modeling, nanocarrier design, therapeutic response analysis). Develop
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of artificial intelligence for healthcare applications, medical image analysis, and human-centered computing systems, with a focus on cross-domain transfer learning and multi-modal data integration. Formulate
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work with amazing partners, including other Harvard Medical School-affiliated hospitals. The qualified candidate will specifically focus on the analysis of large genomics datasets derived from cancer
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implement novel XAI algorithms; (f) collect, process and analyse multi-modal data; (g) prepare research papers for publication; and (h) perform any other duties as assigned by the project leader
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incorporates the use of Artificial Intelligence tools to evaluate and adapt knowledge management practices. The candidate will conduct systematic literature reviews, critical analysis, data collection through
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investigating Aquaculture solutions. The overall goal of this project is to use a multi-omics approach, combined with gut microbiome studies and multi-modal characterization of neurobiology of stress response and
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investigating Aquaculture solutions. The overall goal of this project is to use a multi-omics approach, combined with gut microbiome studies and multi-modal characterization of neurobiology of stress response and
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to high-dimensional omics datasets. Familiarity with transcriptomic analysis tools (e.g., Seurat, Scanpy, DESeq2). Experience with spatial transcriptomics and multi-modal data integration is highly
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for detecting visual stress markers using underwater cameras, and other imaging modalities in industrial environments (RAS farm) Develop and validate pipelines for fish biometrics, posture and movement analysis
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the lab Develop AI-powered pipelines for analysis of microendoscopic calcium imaging, confocal fluorescence microscopy, and behavioral videos Lead cross-modality image registration applications Launch new