Sort by
Refine Your Search
-
education and support your academic and professional goals. Along the way, you will engage in activities and research in several areas. These include, but are not limited to: Learning software applications
-
protein expression and purification, biochemical screening assay development, computational structural modeling, cell-based antiviral validation studies, and exposure to preclinical small-animal research
-
is available to U.S. citizens only. ORISE Information: This program, administered by ORAU through its contract with the U.S. Department of Energy (DOE) to manage the Oak Ridge Institute for Science and
-
, farm or greenhouse environment Basic understanding of data tabulation and statistically analysis using computers and software packages Experience in optimization of specialized equipment and automated
-
underlying genetic components, helping researchers better understand how plant genetics and fiber quality interact. You will engage in a collaborative, multidisciplinary research program spanning chemistry
-
, host, and maintain public-facing custom data solutions such as web-based applications, digital research tools, and software that support the ARS core mission. Services by PDI provide support to our
-
USDA-ARS High-Throughput In Vitro Screening of Antimicrobial Compounds Against Phytoplasma in Cherry
diagnostic dataset outputs using statistical tools and software to compare treatment efficacy and phytoplasma titer reductions over time. Scientific Communication & Collaboration: Collaborating with
-
Information: This program, administered by ORAU through its contract with the U.S. Department of Energy (DOE) to manage the Oak Ridge Institute for Science and Education (ORISE), was established through
-
surveillance initiatives. Laboratory data-management skills: You will learn to operate various instrument software and a laboratory management database for analytical result review, laboratory information
-
/abstract and full-text screening using established software platforms, and extract relevant clinical data from selected studies. Assessing the risk of bias and methodological quality of included studies