5 big-data-and-machine-learning-phd PhD positions at University of Massachusetts Medical School
-
and cell culture techniques are desired. The candidate is expected to work closely with an interdisciplinary research team and must be motivated to acquire new experimental skills. PROJECT DESCRIPTION
-
. Preferred qualifications: D. in Quantitative Genetics/Genomics, Computational Biology, or Related Discipline. Skilled in single-cell transcriptomic analyses, machine learning and artificial intelligence
-
University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 1 month ago
focused on developing potent CAR Treg based therapies for neurological and hepatic disorders and assessing immune response to gene editing based therapeutics delivered as AAV or LNPs. Postdoctoral Associate
-
prerequisite; Experience conducting genome editing (CRISPR), flow cytometry/FACS. Experience with NGS library preparations, including for single-cell transcriptomics. Ability to compile and analyze data using
-
preferred) Strong background in cell culture and in vitro assays Experience with omics analyses such as proteomics by MS and transcriptome by RNA seq Strong data organization, management, and analysis skills