Sort by
Refine Your Search
-
of molecular biology and next generation sequencing is highly preferred. 3. Familiarity with single cell data analysis is preferred, but not required. 4. Ability to work independently as well as part of
-
conference each spring, and an organized faculty mentorship component. Residency at the Warren Center for the term of the appointment is therefore required. Fellows receive a salary and benefits.
-
have some familiarity with: Causal analysis and experimental design: difference-in-differences and fixed effects models, instrumental variables, treatment selection, power analysis, analysis of attrition
-
. Mentor junior researchers and assist in training lab members in experimental techniques and data analysis. Basic Qualifications Ph.D. or M.D./Ph.D. in areas such as neuroscience, molecular biology
-
experience with organoid culture, analysis of aneuploidy, computational skills in analysis of scRNAseq and scATACseq datasets, and/or CRISPR genetic screens. The successful candidate will work with single cell
-
-impact research at the intersection of autonomous AI systems, neural computation, omics and neurobehavior analysis. The position focuses on developing AI agents inspired by and applied to complex
-
of research guidelines; (2) conducting psychosocial and genetic data management, analysis, and interpretation; (3) engaging in manuscript preparation and submission; (4) grant writing and administrative
-
implement an independent research project that extends and complements the work of the lab; write and submit proposals to fund the research; secure and maintain IRB and regulatory approvals; conduct analysis
-
, bioinstrumentation, or embedded systems Programming experience (e.g., MATLAB, Python, or similar for data acquisition/analysis) Familiarity with surgical techniques or willingness to be trained in rodent survival
-
of the lab; write and submit proposals to fund the research; secure and maintain IRB and regulatory approvals; conduct analysis, publish findings, and disseminate research findings through presentations