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studies of brain aging and maintenance, and their relevance to cognitive decline and resilience. Anchoring deep individualized phenotyping, the work will involve a combination of brain imaging, biomarker
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for multimodal biomedical data, including electronic health records (EHRs), genomics, imaging, and clinical text to power next-generation precision medicine. Statistical and computational genomics across diverse
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fellow will contribute to projects focused on: Foundation and representation learning for multimodal biomedical data, including electronic health records (EHRs), genomics, imaging, and clinical text
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for mechanistic analysis of meiotic crossover interference and high resolution imaging of single molecule dynamics of chromosomes Basic Qualifications expertise in high resolution imaging, knowledge of mitotic
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immunocytochemical analyses, circuit concepts, transcriptomic (and potentially proteomic) bioinformatics, small input RNA-seq, and high-level imaging, as well as research background in related studies. Junior
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—energy management by building on and scaling the HouseZero ® concept—Harvard’s prototype for ultra-efficient, naturally ventilated smart buildings—into interconnected communities. This unique initiative
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Fellows will play a pivotal role within the LISH/Data and Science Operation Lab team, collaborating with Harvard Business School (HBS) and D^3 faculty and researchers to develop methods that underpin modern
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sociology. Strong quantitative skills and experience with large-scale data analysis required. Computer Science/HCI: PhD in Computer Science, Human-Computer Interaction, Information Science, or related
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Lab team, collaborating with Harvard Business School (HBS) and D^3 faculty and researchers to develop methods that underpin modern organizations. A unique aspect of the lab is that it fosters
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studies of brain aging and maintenance, and their relevance to cognitive decline and resilience. Anchoring deep individualized phenotyping, the work will involve a combination of brain imaging, biomarker