Sort by
Refine Your Search
-
. Analytical reporting, visualization, or dashboard development; Apache Hadoop, Apache Spark, cloud computing, or high-performance computing. Git, software testing, code review, or technical documentation
-
for comprehensive pathology evaluation to support outbreak and epidemiological investigations. Learning Objectives: You will: Gain experience in molecular testing methods, including PCR-based detection and pathogen
-
Experience or interest in artificial intelligence (AI), machine learning, or AI-assisted workflow automation Experience with software testing, beta testing, user acceptance testing, or information system
-
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
-
population and comparative genomics to examine genetic diversity, selection, pangenome relationships, and functional conservation. You will also develop reproducible GPU- and CPU-based high-performance
-
, Safety and Health (ES&H) requirements of the hosting facility, including but not limited to, COVID-19 requirements (e.g. facial covering, physical distancing, testing, vaccination). Questions: Please visit
-
influence drape behavior and identify the most predictive traits for evaluating fabric performance. Machine-learning tools may also be used to examine whether certain fiber traits associated with drape have
-
collecting soil, plant, and water samples; monitoring soil moisture with advanced sensors; organizing and processing research data; and contributing to modeling efforts that examine water and nutrient dynamics
-
/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
-
, or related data manipulation and analysis software Strong scientific and technical writing skills Experience with analyzing complex surveys, developing cohort analyses, and testing health outcomes in cross