189 machine-learning-"https:"-"https:"-"https:"-"Linnaeus-University" positions at Zintellect
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to develop novel statistical techniques, analyze satellite and other remote sensing data, implement machine learning algorithms, assess numerical model performance, improve risk assessment tools, and deepen
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. Through these experiences, it is anticipated that you will learn how to: Operate and develop custom aerosol generation equipment including software modifications for associated chambers. Operate
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Requirements Degree: Any degree . Discipline(s): Business (11 ) Chemistry and Materials Sciences (12 ) Communications and Graphics Design (6 ) Computer, Information, and Data Sciences (17 ) Earth and
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tolerance for varietal selection. Learning Objectives: Participant will gain laboratory, field, and programming skills to develop the digital twin and other AI models using ground and above-ground sensors and
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opportunity of the fellows will be to participate in the preparation of samples for chemical analysis and learn a range of skills associated with a chemistry laboratory. Samples may be soils, sediments, plant
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. market access. The approach will include metagenomics and bioinformatics to understand genetic diversity of the pathogen. Learning Objectives: During this project, the participant will be involved in
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pathway for undergraduate students. EQuIPT is a 10-week, full-time, student-focused internship. Under the guidance of a mentor, you will learn and gain experience engaging with LQC researchers, industry
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, Environmental Sanitation and Hygiene, and Laboratory Services. What will I be doing? Under the guidance of an epidemiologist mentor, you will be involved with and learn how to: Collect, evaluate and provide
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the growth of America's scientific leadership in emerging fields, fostering the research necessary to maintain global competitiveness in innovative technologies. The learning objectives for this project
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of the opportunity involve various outdoor conditions requiring moderate exertion and traversing the landscape of the MEF. Additionally, the fellow will experientially learn about and participate in the Forest Service