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for working with both public health and/or environmental data/models, and experience working with an interdisciplinary team of researchers and stakeholders. This position is based at the Kansas Geological
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-Neptunian objects for the various suggested theoretical models. The developed workflow should also be applicable to the other discovery science projects in Dynaverse. Your tasks in detail: Perform scientific
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. The successful candidate will develop advanced machine learning (ML) models to automate and optimize retrosynthetic analysis, facilitating the discovery of efficient and sustainable synthetic routes for complex
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, increased inequality, and climate change–citizens are looking to political leaders and the state to solve problems and protect them. The increased role of the state might fundamentally change the conditions
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perform experiments to examine how the orexin system mediates affective and motivational states arising with opioid withdrawal in an animal model of opioid addiction. The studies will explore how the orexin
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software Structural and thermomechanical simulations, particularly thermal stresses, mechanical loads, and deformation under high-temperature conditions Development of an engineering design for
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the entire population. The project utilises advanced statistical methods such as multilevel models (mixed models), fixed-effects models, cluster analysis, and sequence analysis. The selected researcher is
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/01) Position Description: Apply Position Description Postdoctoral Associate in Optimization Modeling School of Civil and Environmental Engineering Cornell University The School of Civil and
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data, identifying structural errors in the dataset, and for maintaining a record of all steps from data extraction to dataset assembly · Fitting of machine learning models · Development of instrumental
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virological and immune system-based research through long-standing community partnerships and clinical trials research, along with using laboratory models of virus infection. The successful candidate will work