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modellers using advanced simulations to interpret and validate observations via data assimilation. There will be opportunities to spend time with project partners at UCLA (Prof. James McWilliams) and attend
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for publication, research seminars etc Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and
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challenges faced by Alabama and the world. AWI-affiliated researchers specialize in water security and quality, remote sensing, hydrologic and hydraulic modeling, and watershed management through synergies
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Responsibilities: Conduct programming and software development for data management. Design and implement machine learning models for optimizing data management. Conduct experiments and evaluations of the designed
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, glioblastomas, colon cancer, and lung cancer. Advancing precision oncology through machine-learning models: We integrate multimodal patient data, including multiomic data and health record information, to develop
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modeling, hydrological models, and/or climate models. While this topic is the primary focus of the position, the fellow will be encouraged to pursue novel research topics. The successful candidate will join
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bonuses of numerous values for excellent work • We are committed to staff development through the provision of training, continued support, and career progression opportunities
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of 30 days (or pro rata) plus standard bank holidays and five university closure days including closure between Christmas and New Year. Our reward scheme grants bonuses of numerous values for excellent
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using an atmospheric solids analysis probe system). An understanding of numerical data analysis (including chemometric techniques) will be an advantage as will experience of writing scientific reports
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modelling of climate-sensitive infectious diseases, with a particular emphasis on Bayesian hierarchical modeling using Integrated Nested Laplace Approximation (INLA). The work will contribute to ongoing