124 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" Fellowship research jobs at Zintellect
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, Information, and Data Sciences (17 ) Earth and Geosciences (21 ) Engineering (27 ) Environmental and Marine Sciences (14 ) Life Health and Medical Sciences (45 ) Mathematics and Statistics (11
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using different LC/MS or GC/MS based techniques. Learning Objectives: As a result of this training, you will gain knowledge and experience in: Liquid chromatography, gas chromatography, and the hyphenated
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collaboration with the mentor and other project members, to refine the focus of these activities based on the knowledge base, skill sets, and interest of the participant. Learning Objectives: The fellow will be
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technologist. They will take part in the research and analysis of protein extraction and characterization in relation to food quality and safety. Learning Objectives: The participant will learn to incorporate
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and ion), mass spectrometry, and capillary electrophoresis. Learning Objectives: Become familiar with the collection, extraction and analysis of horticultural samples Develop skills in the following
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students within the field of quantum information science and technology (QIST). By encouraging graduate student participation in QIST-based research, the LQC National Quantum Fellowship fosters the learning
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of biocontrol treatments in corn. Learning Objectives: Through this fellowship, the successful applicant will gain valuable hands-on experience and develop expertise in laboratory and field research
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measurements of newly established assisted migration trials. Greenhouse and bare root seedling fields are also available for independent projects. Learning Objectives: Improve knowledge of science and knowledge
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operational scales. Learning Objectives: The participant will gain hands-on experience and acquire knowledge in engineering solutions for nutrient recovery and/or removal from manure and animal wastewater, as
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for US agriculture that are often grown in very different climates. The goal of the project is to learn about types of microbes that benefit crop yield or crop quality in the context of field agriculture