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sustainability. The candidate will develop and apply spatial analysis, remote sensing, and modeling to evaluate the technical, environmental, and socioeconomic implications of transitioning to resilient crops in
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electron microscopy design and implement deep learning models to enhance resolution of large field-of-view imaging techniques integrate imaging data across modalities for improved spatial resolution and
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, or related disciplines. Proven expertise in climate change adaptation, food security, and rural development. Strong background in statistical and spatial analysis tools (SPSS, MAXQDA, AMOS, LISREL, PLS, GIS
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scenarios. The simulations will be compared to quantify the benefits of green envelopes for two types of cities in different geographical and climatic contexts. Bibliography de Munck et al. 2013, https
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will lead research at the intersection of crop-switching, environmental resilience, and agrifood sustainability. The candidate will develop and apply spatial analysis, remote sensing, and modeling
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technologies. The Pritykin lab (http://pritykinlab.princeton.edu ) develops computational methods for design and analysis of high-throughput functional genomic assays and perturbations, with a focus on multi
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transcriptional regulation from multi-omics data; computational method development for single-cell epigenomic sequencing and image-based spatial-omics data analysis; computational and experimental studies
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Greek and/or Roman archaeology. Preference will be given to candidates whose work demonstrates strong engagement with digital archaeological methods, including (but not limited to) 3D modeling, spatial
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approaches including flow cytometry, spatial proteomics, transcriptomics, confocal microscopy and biochemical assays. Utilize mouse models and patient-derived samples to explore how genetic and dietary factors
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<https://www.usg.edu/policymanual/section6/C2653> policy and its Ethics Code of Conduct<https://www.usg.edu/policymanual/section8/C224/#p8.2.18_personnel_conduct>. For more information, visit us online at