Sort by
Refine Your Search
-
background in the economics of healthcare, public economics, or other fields of applied microeconomics. We are looking for strong background in data analysis, econometrics, and quasi-experimental methods
-
aspects of the trial, participant recruitment, informed consent and enrollment, data collection and quality, face-to-face and online intervention delivery, participant retention, adverse events monitoring
-
. Leading the analysis of single-cell and spatial transcriptomics data. Applying and developing the analysis framework for spatiotemporal modeling. Publication in top-tier journals, and apply and obtain
-
philanthropy. Lead in-depth case studies of community-led conservation, with extensive fieldwork in Mexico, including data collection and analysis. Coordinate and contribute to data analysis across case studies
-
screening, high-content imaging, or functional assays of sensory or neuronal activity. · Computational or bioinformatics experience for analysis of omics data. Required Application Materials: 1. Cover letter
-
Strong quantitative and analytical skills Experience in either experimental neuroscience (e.g., in vivo neurophysiological recordings, behavioral training) or computational data analysis (e.g., spike
-
is a plus. Candidates should also demonstrate strong skills in Python (for ML/NLP tasks) and R (for statistical modeling or data analysis), as both will be actively used in the research workflow
-
translational oncology, and a vibrant research community that spans discovery to clinical implementation. Specific Responsibilities include: experimental design, data acquisition, data processing, statistical
-
, single cell and multi-omics data analysis, and a high-performance computing environment (Unix/Linux) is highly preferred. An individual with Next generation sequencing experience is preferred. A good
-
, neural differentiation, and bioinformatic analysis while addressing fundamental questions about how chromosomal imbalances cause developmental disorders. This work has direct translational potential, as