-
data analysis: genome wide association, whole genome sequencing, RNA-seq, epigenetics, proteomics, metabolomics, Alzheimer’s disease etc. • Excellent communication and writing skills. Interested
-
technical areas involves use of lab skills. These include dissecting brains, antibody labeling of tissues and scanning samples. (50%) Perform quantitative analysis of neuroanatomical samples collected
-
conduct experiments aimed at understanding tumor-immune interactions in patient-derived glioblastoma organoids and other preclinical brain tumor models (30%). Data Integration and Analysis: Perform
-
educational background. Experience with mass spectrometry data analysis in the life sciences. Ability to work independently and effectively in a collaborative team environment for solving scientific problems
-
various individuals, including patients for study. 3. Previous experience in evidence based psychotherapy. 4. Writing and data analysis. 5. Ability to work collaboratively with the principle investigator