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Field
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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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Your Job: Lead the development and fine-tuning of AI models and LLMs specifically tailored for data mining in the physical sciences and engineering Fine-tuning and evaluation of open-source LLMs
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the first of its kind. EarthBank functionalities are continuing to expand beyond its current range of data types, which includes relational data models for major, minor and trace element geochemistry, U-Th-Pb
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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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to these changing conditions? The postholder will help to answer these questions using agent-based modelling (ABM) of social-ecological systems, drawing on archaeological and historical datasets collated through
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conditions on freezing rain and its influence on structural ice load standards in the U.S. The successful candidate will work with cutting-edge climate data, environmental hazard modeling, and structural
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DTU Energy, we are working to enhance the mechanical robustness of cell and stack components and gain deeper insights into their behaviour under technologically relevant conditions. This includes
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, and function across the lifespan – including in neurotypical populations and those with neurodevelopmental, mental health, and psychiatric conditions. Specifically, the candidates will have expedited
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Postdoctoral Associate in Optimization Modeling The School of Civil and Environmental Engineering at Cornell University seeks a postdoctoral associate. The positions can be remote (but the home
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neuroimaging (particularly functional) is required, and ideally the candidate will have experience in linking imaging methods with cognitive, neurobiological or computational modelling frameworks. Your key