-
of computational tools capable of proposing synthesis routes (or “recipes”) that primarily use enzyme catalysis to make complex small molecule targets (e.g., pharmaceutical agents or monomers for bioplastics
-
mouse models to investigate particulate matter, engineered nanomaterials, and other environmental pollutants induction of pulmonary injury, immune dysregulation, and lung disease pathogenesis. Ongoing
-
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
-
iron biomarkers, what each of them represents, when to choose which ones to measure, based on the study question, and how to measure them. Finally, the postdoc will learn how to design and carry out
-
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
-
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