Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
research that together enhance our contribution to society. Responsibilities* The bioinformatician will be responsible for performing integrative analysis of large, multi-omics data sets from humans and from
-
content classification and filtering, including handling encrypted DNS traffic (e.g., DoH, DoT). Build and refine knowledge graphs from multimodal data using large language models (LLMs) to enable
-
Critical Care in the Department of Emergency Medicine who strives to improve the outcome of cardiac arrest patients by transforming how we translate innovative therapies from large animal models to clinical
-
data preparation language. Must be able to use these tools to merge large datasets, locate and clean messy records, recode missing values, convert between data formats, and construct standardized
-
to exclusively manage coding, data processing, and analytical responsibilities associated with Projects 1a-1c. The successful candidate will leverage advanced computational methods, including Large Language Models
-
Critical Care in the Department of Emergency Medicine who strives to improve the outcome of cardiac arrest patients by transforming how we translate innovative therapies from large animal models to clinical
-
rotation. Up to 100% remote work from home. Required Qualifications* Bachelor's degree in Computer Science, Electronics, Computer Engineering or a related field + 2 years of related SQL database
-
. Report formal annual program information to ASCAP & BMI (and other Performing Rights Organizations as required). Collaborate with the SMTD Music Library to appropriately archive large ensemble, faculty
-
queries, and dashboards Familiarity with (biomedical) image processing Familiarity with processing data collected using wearable devices (biomedical) Experience with natural language processing and Large
-
., large, longitudinal, clustered data sets). The ideal candidate will be proficient in a diverse range of advanced statistical techniques, such as mixed models, machine learning, and mediation analyses, and