Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
combine comprehensive studies of human biopsies with targeted gene disruption in advanced preclinical models, single cell transcriptomics, and bioimaging. Expertise in wet-lab and computational biology
-
transcriptomics, and bioimaging. Expertise in wet-lab and computational biology, close ties to the clinic, and a wonderful team of early career scientists give us the agility to swiftly move from
-
health. We combine comprehensive studies of human biopsies with targeted gene disruption in advanced preclinical models, single cell transcriptomics, and bioimaging. Expertise in wet-lab and computational
-
research of high international quality, including publication. Conduct spatial and cell-specific molecular profiling using approaches such as RNAscope multiplex, single-cell and spatial transcriptomics
-
transcriptomics, and bioimaging. Expertise in wet-lab and computational biology, close ties to the clinic, and a wonderful team of early career scientists give us the agility to swiftly move from hypotheses
-
techniques, such as transcriptomics and proteomics, to explore physiological changes in organisms. Focus will also be on microbiomes. Your competencies A master's degree in biotechnology, toxicology
-
, including gene expression analysis (e.g., qPCR, transcriptomics). Experience with immunohistochemistry and related imaging techniques. This position is particularly suited for a candidate with
-
, transcriptomics, epigenomics and metabolomics, bioinformatics, immune fluorescence imaging, electrophysiology, and animal models of immunity in health and disease. The lab's research has consistently been
-
Experience with programming in Python, R, or similar languages Background in machine learning or deep learning methods Knowledge of genomics, transcriptomics, evolutionary biology, and plant biology is an
-
collaborative research into the molecular and genetic basis of plant–microbe interactions, with a particular emphasis on data integration across plant species and data types (genomics, transcriptomics). Design