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). You will develop an AI/machine learning model using spatial proteomics that can accurately differentiate CRS phenotypes. You will have an opportunity to apply the AI/machine learning algorithm to tissue
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• Application Deadline: Evaluation of applications starts January 15th, 2026 until filled Recent advances in high-throughput technologies for single-cell analysis, including single-cell transcriptomics, spatial
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, reproduction, and development. They use cutting-edge single-cell, spatial, in vitro, and surgical approaches in multiple model species and in human organoids to investigate the uterine endometrium and maternal
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Position Summary The Michigan State University-Hurley Children’s Hospital Pediatric Public Health Initiative (https://msuhurleypphi.org/ ) in the C.S. Mott Department of Public Health at Michigan
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-based policy models for climate adaptation and land-use management by integrating socio-economic and environmental dimensions. Integrate research outcomes into European climate and rural development
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French National Research Institute for Agriculture, Food and Environment (INRAE) | Toulouse, Midi Pyrenees | France | 2 months ago
the continuum from virology and immunology to spatial and molecular epidemiology, computer sciences, as well as social and behavioural sciences. Irrespective of their background, all doctoral candidates from
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; their feedback and co-design inputs will inform further development. The goal is to establish a socio-technical infrastructure enabling municipal staff without advanced IT skills to model scenarios and prepare
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geophysical analysis, hydrologic and water quality modeling, and climate science with sustainable, community-based design to address pressing environmental issues like climate change impacts, coastal hazards
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; responsible for database management; performs GIS analysis and creates maps; manages continuous forest inventory measurement; performs FVS growth modeling; responsible for timber harvest program including
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to study chromatin and gene regulation in mammalian cells and human disease systems. Current ongoing projects include: statistical modeling and advanced machine learning/AI method development for predicting