176 machine-learning-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Zintellect
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of protein purification, including expression, downstream processing and modification. They may also participate in other aspects of vaccine development. Learning Objectives: The participant will learn how
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team. Anticipated learning objectives for this opportunity include, but are not limited to: Understanding Material Development: Gain knowledge of the principles and processes involved in the synthesis
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), Master’s Degree (Journeyman Fellow), or Doctoral Degree (Postdoctoral Fellow). Discipline(s): Chemistry and Materials Sciences (12 ) Communications and Graphics Design (6 ) Computer, Information, and
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management. Notable applications include National Forest and Grassland Management Plans, State Forest Action Plans, and project-level ecosystem management. The primary learning experience for the fellow will
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team. Anticipated learning objectives for this opportunity include, but are not limited to: Understanding Material Development: Gain knowledge of the principles and processes involved in the synthesis
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pursuing. Discipline(s): Chemistry and Materials Sciences (12 ) Communications and Graphics Design (2 ) Computer, Information, and Data Sciences (17 ) Earth and Geosciences (21 ) Engineering (29
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of innovations that mitigate negative outcomes from these relationships. Learning Objectives: You will learn and apply skills in microbiology, virology, insect biology and beekeeping to explore host-virus
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on applied field research aimed at developing aflatoxin biocontrol application recommendations that will increase the efficacy and minimize the long-term cost of biocontrol treatments in corn. 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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this information can improve our ability to predict the spread and intensity of wildfires and prescribed fires. Learning Objectives: The program participant will learn a variety of new skills to measure