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and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity to UBC as a workplace, and creates the necessary conditions for a rewarding career. Job
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Postdoctoral Research Engineer: Innovative Engineering and Automation for Single Cell Metabolomics 1
an attractive teaching and research environment, a collaborative atmosphere and a personal career-development track, including mentoring and support. Job Description Educational program A significant part of the
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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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/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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-based or machine-learning/AI-based climate modeling (e.g. hydrometeorological and/or atmospheric processes) are particularly encouraged to apply. Position 3 Working with Dr. Kelly Baker , EEH Associate
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 19 hours ago
. Description: Geologic sources of carbon dioxide (CO2) and methane (CH4) to the atmosphere are important components of the Earth System, with direct atmospheric impacts and indirect feedbacks to local ecology
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road conditions. Your specific activities will include (but are not limited to): • Develop robust, production-grade machine learning solutions for predictive modelling and complex decision
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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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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 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