44 software-engineering-model-driven-engineering-phd-position Fellowship positions at Zintellect
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must be uploaded as PDF files to ensure the document can be searched by Zintellect’s search engine. Documents sent by email, postal mail, or fax will not be considered. If you have questions, send
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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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. Experience in the use of good laboratory practice in collecting and managing analyses performed in a research study. Experience with statistical analysis (e.g., R or SAS software packages) of datasets. Point
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candidate will have received a PhD in Biology (General), Cellular and Molecular Biology, Infectious Diseases and Zoonoses, Microbiology, Public Health, Virology, or similar field within the past five years