-
, environmental history, and hydrology. Excellence in writing is an especially desirable skill. There is no expectation that individual applicants have expertise in all these areas, or even in both digital methods
-
complex algorithms and predictive models and determine analytical approaches and modeling techniques to evaluate potential future outcomes. Establish analytical rigor and statistical methods to analyze
-
methods. * Strong communication, analytical, and problem-solving skills. * Ability to work effectively with local, national, and international collaborators. Compensation: Commensurate with Yale
-
, with at least one published first-author manuscript in pharmacoepidemiology and/or health decision science in a peer-reviewed journal. 2. Strong background in epidemiological and statistical methods
-
computational methods development (e.g., multi-omics, adaptive immune receptor repertoire sequencing (AIRR-seq), scRNA-seq+BCR/TCR) and applications to understanding disease and vaccination responses in SCD
-
single-cell or spatially resolved genomics methods Testing therapeutic interventions in models of ovarian and cardiovascular aging Designing in vivo lineage-tracing and labeling strategies paired with high
-
topics include, but are not limited to (i) developing statistical and machine learning methods for study designs and decision-making in early detection of pancreatic cancer (ii) establishing strategies
-
analysis methods, including quantitative structural analysis, network-based functional analysis, voxelwise cross-modality analyses, graph theoretic approaches, and machine-learning based applications
-
, political science, statistics, econometrics or related field by the start of the appointment Advanced coursework in empirical methods, including econometrics and economics, with strong demonstrated academic
-
implementation of SEL (social and emotional learning) and foster those skills in all stakeholders in these communities, including in families and out-of-school time. We test and refine each element of our work