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convection. The objective is to develop reduced but realistic models of cumulus life cycles that may be applied toward cumulus parameterization and/or machine-learning algorithms for predicting short-term
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and processes; - Experience with machine learning and AI tools. Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work
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populations to identify genes contributing to specific growth patterns. Learning Objectives: Under the guidance of a mentor, you will develop skills or learn about: Research strategies unique to obligate
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, texture profile, and other key techno-functional properties. Learning Objectives: Under the guidance of a mentor, the participant will learn to: develop and optimize procedures for extracting plant proteins
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for inclusion in regulatory review workflows. Learning Objectives: By the end of this appointment, you will have developed the skillsets to: Articulate the regulatory framework governing the use of surrogate
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just medicines. Research Project: This educational research participation opportunity within FDA’s Office of Generic Drugs (OGD) provides a mentored learning experience focused on the evolving global
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) Skills • Experience in designing and consuming APIs Design. • Experience with human-centered design • Exposure to machine learning pipelines (Scikit-learn, PyTorch, or TensorFlow) and model
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organic methodology. Key Responsibilities: Conduct routine lab research and data analysis in asymmetric transition metal catalysis. Mentor junior researchers and teach organic chemistry lab skills, oversee
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sustainable manner. Key Responsibilities: Responsible for developing explainable machine learning algorithms for Tunnel Boring Machine (TBM) tunnelling and excavation Developing large language model enhanced
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-driven and externally relevant. Our curiosity about languages, histories and global cultures drives our insight, research and our learning. For any informal queries about the role or the team, please