Sort by
Refine Your Search
-
models; predicting density and uncertainty surfaces from those models; evaluating predictions with contemporaneous data not included in the models as well as knowledge from the literature; and
-
Advanced Experience Experience implementing novel machine learning architectures and emerging AI methodologies. Knowledge of multimodal modeling approaches integrating imaging, clinical, and genetic data
-
underlying juvenile dermatomyositis and related pediatric conditions. Through the integration of advanced molecular techniques, patient-derived samples, and functional muscle modeling, you will help develop
-
fields: Agentic AI, Large Language Models, Artificial Intelligence, Biomedical Ontologies, Biomedical Knowledge Graphs, Computational Biology, Bioinformatics, Biomedical Informatics or a related field
-
on identifying and validating surrogate endpoints for overall survival using data from cancer clinical trials and patient registries, developing prognostic models of clinical outcomes in cancer, and conducting
-
, Medicare/Medicaid claims, PCORnet, Epic Cosmos, Flatiron Health, TriNetX, or similar oncology datasets. Knowledge of survival analysis, longitudinal data analysis, mediation analysis, latent class analysis
-
. Candidates with background knowledge and hands-on experience in mouse models, proteomics, 3Dorganoids,primary cells purification and culture skills are particularly welcome. Minimum Requirements: Ph.D
-
background in molecular biology and cell biology. Experience working with animal models. Demonstrated scientific curiosity, initiative, and commitment to research excellence. Ability to work independently
-
also develop resource models by compiling relevant datasets and applying data science tools. The Postdoctoral Associate should be able to work effectively with collaborators from diverse disciplinary
-
application to quantum theory and information science. Other application areas of interest include robust parameter estimation and performance bounds under model misspecification, integrated sensing and