80 machine-learning "https:" "https:" "https:" "https:" "The Open University" uni jobs at Zintellect
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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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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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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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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
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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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ecosystem services that they provide. Learning Objectives: The participant will learn to utilize ecological simulation models and to design and conduct geospatial analysis of model results to characterize
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be four (4) years or less. Applicants may be a veteran, or separating veteran, of the United States Armed Services who has received their DD-214 no more than four (4) years prior to the start date