Sort by
Refine Your Search
-
clock system and downstream transcriptional regulation. Responsibilities include molecular cloning, protein purification and biochemical characterization, assay development, and quantitative analysis
-
theory, analysis of Roman commissioning and early GBTDS data, support for event-analysis and planet occurrence-rate pipelines, and the publication of scientific results based on Roman exoplanet data
-
. Research activities may include common- and rare-variant association studies, survival and longitudinal analysis, multi-state disease modeling, polygenic risk prediction, gene-environment interaction, cross
-
programming skills in modern languages such as Python or C++. Experience in statistical analysis, machine learning, and data-driven modeling applied to large astronomical datasets and time-domain surveys is
-
web components, and plant disease assessments. Specifically, the candidate leads research including experimental design, planning, setup and sampling, data generation and analysis. Experiments could
-
/or intervention studies, and have extensive already-collected data available for secondary analysis. Responsibilities will generally include data analyses; preparation of manuscripts and conference
-
closely related discipline. At least 5 years of relevant research experience in agricultural data analytics, remote sensing, machine learning, spatial data analysis, sensor systems, or related areas
-
or equivalent degree required. Preferred Qualfications Significant experience in behavior testing and bioinformatic data analysis is preferred. Additional Information: Location: Biomedical Research Tower (0112
-
and analysis, interpretation of research findings, and preparation of scientific manuscripts, conference presentations, and grant applications. As the candidate gains experience and independence
-
; develop projects, collects data, and conducts quantitative and qualitative analysis in new research projects designed as pilot work for new grant submissions; participates in bi-monthly research team