91 software-engineering-model-driven-engineering-phd-position Fellowship positions at Zintellect
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Ashley Eligibility Requirements Degree: Master's Degree or Doctoral Degree. Discipline(s): Computer, Information, and Data Sciences (17 ) Engineering (29 ) Life Health and Medical Sciences (51
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, and molecular breeding. Key learning activities include: Designing and conducting experiments in plant tissue culture, regeneration, genetic engineering, and genome editing of sugarcane. Developing
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symbiont technology, specifically the development of transgenic galls that serve as biological platforms to produce and deliver therapeutic or beneficial products into host plants. This appointment provides
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Degree: Doctoral Degree received within the last 60 months or anticipated to be received by 8/30/2026 11:59:00 PM. Discipline(s): Chemistry and Materials Sciences (12 ) Engineering (29 ) Life Health
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electrical penetration graph (EPG) technology. The candidate will perform laboratory, greenhouse, and field studies, and to establish experiments to test different pest management strategies. Learning
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. agricultural health, regulating genetically engineered organisms, administering the Animal Welfare Act and carrying out wildlife damage management activities. These efforts support the overall mission of USDA
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adapting methods from published literature. Through meticulous record-keeping, data tabulation, statistical analysis, and summarization using computer software, you will gain practical experience in managing
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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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Sciences (2 ) Engineering (3 ) Environmental and Marine Sciences (4 ) Life Health and Medical Sciences (30 ) ORISE GO The ORISE GO mobile app helps you stay engaged, connected and informed during
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instrumentation and analysis, data management, software applications, record keeping, compliance training, and the principles of scientific study design. Learning both general and specialized research skills