Sort by
Refine Your Search
-
approaches such as non-coding CRISPR screens, the Massively Parallel Reporter Assay (MPRA), saturation mutagenesis, and synthetic sequence design, alongside machine-learning models of regulatory grammar
-
, retinal diseases, and vision science. Training opportunities may include imaging analysis, bioinformatics, statistical analysis, and grant and manuscript development. The specific training plan will be
-
human genetics and/or statistics, including knowledge of genomewide methods, such as GWAS and post-GWAS analysis, and comfort with bioinformatics. This is highly collaborative work, so the candidate
-
through peer-reviewed publications. Qualifications Candidates should possess: Ph.D. in Bioinformatics, Computational Biology, Computer Science, Genetics, Molecular Biology, or a related discipline. Strong
-
conferences, and through peer-reviewed publications. Qualifications Candidates should possess: Ph.D., completed or expected, in Bioinformatics, Computer Science, Statistics, Computational Biology, Biomedical
-
facilities and vast resources to support professional development. Responsibilities Develop bioinformatics pipelines for the analysis of large genomic datasets Derivation of novel statistical and theoretical
-
, Data Science, Computer Science, Bioinformatics, or a related field before the start of the appointment ● Strong oral and written communication skills, and the ability to work effectively with a wide
-
communication skills. Application Process: Interested applicants should contact Dr. Mark Lee, MD, PhD ([email protected] ) with the Subject line: “Postdoctoral associate position in the Lee lab” with a brief
-
of greenhouse gases (specifically methane) from vegetated wetlands, coastal systems, and inland waters, with a focus on advancing process-based science and informing strategies to reduce greenhouse gas emissions
-
. That makes it possible for us to search for, and rigorously test, existing medications that might be repurposed to treat alcohol and substance use disorders. Our work gives a sense of what these studies look