48 machine-learning-and-image-processing-"RMIT-University" Fellowship positions at Zintellect
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about the most recent advances in machine learning and data management in agricultural research. The participant will have the opportunity to collaborate with multiple USDA ARS scientists on using machine
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research interest: ultra-processed foods (UPF), with special attention to understanding nutrient deficiencies that are associated with UPF-rich diets. During the fellowship you will have a hands-on learning
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statistical software. Learning Objectives: Learn about the implementation of the application of machine learning methodologies in plant phenotyping and genotyping for the sugarcane molecular biology lab. Learn
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, or related field. Proficient in MATLAB and/or Python. Experience with image processing and rectification. Strong understanding of coastal and ocean wave physics. Application Requirements A complete
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): Chemistry and Materials Sciences (11 ) Computer, Information, and Data Sciences (9 ) Earth and Geosciences (2 ) Engineering (2 ) Environmental and Marine Sciences (6 ) Life Health and Medical
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). Discipline(s): Computer, Information, and Data Sciences (1 ) Earth and Geosciences (1 ) Environmental and Marine Sciences (6 ) Life Health and Medical Sciences (2 ) Mathematics and Statistics (1
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– $75,000.00 Yearly Point of Contact Justina Eligibility Requirements Citizenship: LPR or U.S. Citizen Degree: Master's Degree received within the last 60 month(s). Discipline(s): Computer, Information, and Data
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gas and other energy resources, policy assessment methods, including economic and modeling skills, and computer software products Research experience Excellent written and oral presentation skills Both
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Janeen Eligibility Requirements Degree: Doctoral Degree. Discipline(s): Business (11 ) Chemistry and Materials Sciences (12 ) Communications and Graphics Design (6 ) Computer, Information, and Data
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and Graphics Design (2 ) Computer, Information, and Data Sciences (17 ) Earth and Geosciences (21 ) Engineering (27 ) Environmental and Marine Sciences (14 ) Life Health and Medical Sciences