-
mouse models to investigate particulate matter, engineered nanomaterials, and other environmental pollutants induction of pulmonary injury, immune dysregulation, and lung disease pathogenesis. Ongoing
-
the development of retrosynthesis and/or tree search algorithms. 3. Experience in the curation and analysis of reaction datasets 4. Experience in development of models that predict the function of enzymes using
-
quantitative expertise in one or more of the following areas: human decision making; decision modeling; human-machine interaction; human perceptions of AI; large language models; data simulation; machine
-
candidate will play an active role in analyzing LZ data, with opportunities to improve simulation models used in rare-event searches, develop machine learning methods for background rejection, and place
-
Physiology, Metabolic Biology, Molecular Biology, Biochemistry, Immunology, or a related field. Experience with animal models, skeletal muscle physiology, metabolic assays, and molecular biology techniques
-
biometric modeling of behavioral genetic data and longitudinal research spanning decades of assessments of personality, psychopathology, and social and environmental risk factors. Finally, the Scholar will
-
understanding of both lipid metabolism (see below) as well as iron metabolism and how to conduct studies using animal models and humans. The postdoc will also be one of the few investigators at the forefront
-
simulation models used in rare-event searches, develop machine learning methods for background rejection, and place constraints on new physics using LZ datasets. In addition, the postdoc will lead the