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, you will build a robust portfolio of technical, analytical, and collaborative skills. Engagement with FDA's regulatory science network and exposure to real-world policy and operational challenges will
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configurations. The software can assimilate large datasets and perform adjoint computations, inverse modeling, and uncertainty quantification. It has enabled breakthrough scientific discoveries and supported
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. Additionally, we intend to measure root water uptake using sap flow meters. The data will be integrated using recently developed physics-informed neural networks in order to translate apparent resistivity data
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Response is seeking a fellowship participant to receive hands-on training in the coordination, development, and implementation of advanced software systems. Through mentorship and experiential learning, you
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personal professional network with federal, university, and industry scientists through collaboration and stakeholder engagement. Mentor(s): The mentor for this opportunity is Nicholas LeBlanc
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training, travel to communicate findings, and professional networking will also be available. Learning Objectives: Under the guidance of a mentor, you will have the opportunity to learn to: (a) plan, execute
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, and maintain analytical pipelines and software; Evaluate emerging bioinformatics tools, datasets, and analytical methods; Collaborate on scientific presentations, technical documentation, posters, and
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genetic assessment tools and methodologies using software programs such as ADMIXTURE, TreeMix, and GONe. Mentor(s): The mentor for this opportunity is Harvey Blackburn ([email protected] ). If you
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analytical skills in SAS, SUDAAN, Stata, R, Python, or related data manipulation and analysis software Experience analyzing complex surveys, developing cohort analyses, and testing health outcomes in cross
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). Degree must have been received within the past five years. Preferred skills: Programming and analytical skills in SAS, SUDAAN, Stata, R, Python, or related data manipulation and analysis software Strong