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Field
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 3 hours ago
, biogeochemistry, remote sensing and field ecology are desired. Programming experience in R, Python or other similar computing languages, as well as experience in code versioning software such as GitHub
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to the larger community of special education, such as peer-reviewed journals, and national conferences of professional organizations. 10% - Use ASD/EBD relevant measurement tools (i.e., ADOS-2, ADI-R) to identify
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, seek input, change strategies) Significant experience with a research computing language such as R, Python or Matlab Experience working with human research subjects Preferred: Interest in human cultural
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existing ones in binary, continuous, and time-to-event outcomes. The Postdoc Associate will help develop R/SAS software for the proposed statistical methods and also work closely with all project
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academics and innovative research, UTA is designated as a Carnegie R-1 “Very High Research Activity” institution. UTA ranks No. 4 nationally in Military Times’ annual “Best for Vets: Colleges” list and is
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emerging to address the ‘broken system’ of antibiotic R&D. It focuses on the actors and stakeholders seeking to develop a radically altered antimicrobial innovation ecosystem by establishing alternative
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). Knowledge of environmental sustainability, soil health, or plant-microbe interactions. Proficiency in the use of bioinformatics tools for metagenomic and transcriptomic data analysis (e.g., QIIME, DADA2, R
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of proposals and contact with funding organizations. Communicate with all stakeholders including R&D peers, suppliers, and the client.
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(Jupyter / Marimo), Git (or equivalent VCS). Programming Languages – Python, R (optional). Frameworks – PyTorch, TensorFlow (optional), MLFlow (optional). Databases – SQL (including queries using windows
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modeling and simulation tools DESIRED QUALIFICATIONS: Experience using NONMEM, R, Monolix and/or other platforms for analysis of clinical and/or preclinical pharmacology data; development of web-based tools