83 software-engineering-model-driven-engineering-phd-position Fellowship positions at Zintellect
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Geosciences (21 ) Engineering (29 ) Environmental and Marine Sciences (14 ) Life Health and Medical Sciences (51 ) Mathematics and Statistics (11 ) Physics (16 ) Science & Engineering-related (2
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): Engineering (2 ) Life Health and Medical Sciences (35 ) Veteran Status: Veterans Preference, degree received within the last 120 month(s). ORISE GO The ORISE GO mobile app helps you stay engaged, connected
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, but other diseases may also be studied. Novel methods to suppress disease will be researched such as the use of endophytes, bacterial metabolites, drone technology, new fungicides, etc. Research toward
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: Doctoral Degree received within the last 48 month(s). Discipline(s): Chemistry and Materials Sciences (2 ) Computer, Information, and Data Sciences (1 ) Engineering (2 ) Environmental and Marine
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) Engineering (1 ) Mathematics and Statistics (11 ) ORISE GO The ORISE GO mobile app helps you stay engaged, connected and informed during your ORISE experience – from application, to offer, through your
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driving biology in non-model insect pests Expanding skills and practical knowledge of experimental design and data analysis Refining micro- and nano-injection systems for specific developmental stages
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to improve soybean for enhanced disease tolerance by accelerating breeding programs and enabling the engineering of new and improved traits. Learning Objectives: As a result of this experience, the participant
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the mentor’s guidance, the participant will design and conduct experiments in the laboratory and the field and use data to test and validate predictive models. Interaction with stakeholders and research
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or be pursuing a doctoral degree in one of the relevant fields (e.g., Plant Genetics, Agronomy, Genomics, Bioinformatics, Biology). Preferred Skills: Experiences and expertise to analyze high through put
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farming resulting in more nutrient-dense animal sourced protein products. Learning Objectives: The fellow will gain experience in planning and conducting data collection, remote sensing, geospatial modeling