99 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Imperial College London" uni jobs at Zintellect in United States
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resolution visualizations of hydrate distributions and fluid migration in porous media under in situ conditions, and • Machine learning application to gas hydrate system to develop efficient key parameter
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, program rules, and availability of the participant. Appointments will be conducted virtually. $125 per week stipend based on part-time participation each week. Program provides the opportunity to learn from
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learn how phenotypic datasets are integrated with genomic data for association analyses, genomic selection, and AI-driven methods, including machine learning and deep learning, to enhance germplasm
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in genetically modified maize hybrids. Outcomes will contribute long-term goals to develop tools to detect and monitor resistant insects in field populations. Learning Objectives: Participants will
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Engineering 1: Under the guidance of a mentor, this Lifecycle Engineering program area will teach you how to utilize chemical, biochemical, and systems engineering to develop and design solutions that continue
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is for STEM-focused undergraduates, and recent graduates, with a strong interest in STEM professions. Under the guidance of a mentor, you will learn how to utilize mechanical, electrical, computer, and
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and Data Science (including machine learning and AI for defense applications) - Systems Engineering and Engineering Management - Industrial Engineering and Production Management - Mathematical Modeling
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machine learning, image recognition, and prediction of damage to tree nuts from insect pests. They will also collaborate with other team members on statistical analysis of data collected as part of
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instrumentation and test systems. You will learn how to prepare test samples, participate in test events, analyze data and prepare reports. You will gain understanding of good laboratory practices, develop
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. Learning Objectives: The Fellow will learn how wildland fire managers use weather and fuel data to plan and conduct prescribed burns. The Fellow will gain understanding of the range of meteorological data