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broader portfolio of academic affairs and data science initiatives, including AI integration, predictive modeling, statistical analysis, machine learning, and analytics infrastructure development. A major
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-physical properties of insulating biobased concretes in order to provide the input parameters for modelling. Multiphysics predictive modeling: to reduce the cost of experimental tests and provide a decision
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Offer Description Mission: Collaborate in the development of strategies for predicting and monitoring railway-induced vibrations. Functions to be developed: Develop prediction models for vibrations
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–2023), the model demonstrated good predictive performance for daily and weekly dengue cases based on two years of sentinel hospital data. As part of the ANRS SEA-ROADS programme (2024–2027), coordinated
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trends and composition analysis, refractive index determination, and morphology for applications such as environmental monitoring, nuclear non-proliferation, and improving predictive modeling tools (e.g
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Primary Work Address: Dept. of Genetics, Boston, MA, 02115 Current HHMI Employees, click here to apply via your Workday account. About the Lab: The Walter Laboratory (https://walter.hms.harvard.edu
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genomics. DNA delivery. Predictive models of DNA sequence to function, at the scale of genes and genomes. Human health applications and delivery mechanisms. We will consider applications on a rolling basis
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Lab applies rigorous evaluation and modeling methods, including natural and field experiments, randomized controlled trials, behavioral economics, and machine learning, to help policymakers identify and
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they change through time. To translate eBird observations into robust data products we create custom modeling workflows designed to fill spatiotemporal gaps based on remote sensing data while controlling
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for a technician who will help with the quantitative analysis of a European travel survey and apply data science methodologies to predict travel behaviour in European cities as part of the EC funded