105 web-programmer-developer-"https:"-"https:"-"Mines-Paris-PSL" Fellowship positions at Zintellect
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social science students and early career professionals who are invested in the wildland fire crisis from convergent perspectives that are problem-focused and solutions-based. Learning Objectives: Develop
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in incorporating stakeholder and customer feedback to ensure they align with program learning needs and priorities. Advance the fellow’s professional development by engaging in targeted learning
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(PGR) collections lack systematic and thorough characterization. With the recent development of an alfalfa 3K DArT SNP panel, a standardized high-throughput technology has been optimized to overcome
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testing. You will develop expertise in Biosafety Level 1 and Level 2 cell handling, sterility testing, bioburden testing, and novel ATP-bioluminescence technologies. This fellowship will strengthen your
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include the development of predictive models for disease resistance, genome-wide association studies to uncover resistance loci, automated phenotyping approaches using image data, and integrative multi
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program will harness state-of-the-art 'omics' technologies, including comparative genomics, population genomics, and transcriptomics, to: Utilize genomic and transcriptomic data to build comprehensive
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associated risks to U.S. farmlands and agricultural resources. Learning Objectives: During this appointment, the participant will develop hands-on experience working within an interdisciplinary research team
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Project: Aflatoxin, a mycotoxin produced by Aspergillus flavus and closely related fungi, contaminates crops and is a threat to food and feed safety. The overall research goal of the lab is to develop
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of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: Our research project focuses on developing nondestructive sensors for measurement
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. Research Project: A Postdoctoral Fellow will participate in a project focused on analyzing forest change and disturbances on U.S. forests. In this project, we will collaboratively develop one or more models