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Field
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the genetic and developmental basis of pediatric heart disease. We analyze genetic variation in samples from patients with congenital heart defects and utilize mouse, Xenopus and cell-based models to assess
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System Model, vesion 3 (NorESM3), and a central satellite dataset for EEI is from the Clouds and the Earth’s Radiant Energy System (CERES). The specific tasks intended for the PhD fellow are to (i) Analyze
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with experience. • Demonstrated research experience in Modelling and Simulation (M&S) and decision support analytics, stakeholder engagement and an active research agenda evidenced by research, supported
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orientation, with ability to document project outputs, stakeholder benefits, implementation progress and individual contribution within a team-based delivery model. Capability in medtech / healthtech
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, trustworthy AI systems that boost productivity, resilience, and environmental performance. The hub-and-spoke model connects universities as research “spokes” to address real-world challenges across priority
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multi-regional input-output (MRIO) frameworks or supply-chain modelling. Prior experience in research associated with food Please note that only candidates who clearly meet the required skills and
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people who have agreed to serve as a reference Basic Qualifications PhD in immunology, microbiology, virology, or a related field. Experience working with mouse models. Additional Qualifications If visa
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: Knowledge of kinetic modeling and/or machine learning interatomic potentials. Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre-employment background
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organizations with varying technical capacity. Explore applications of AI methods, including large language models and natural language processing, for extracting structured information from unstructured sources
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and responsible space exploration, with planetary protection at the core of its efforts. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s) of activity/research