26 assistant-professor-and-data-visualization Postdoctoral positions at University of Colorado
Sort by
Refine Your Search
-
to work in the United States without the need for employer-sponsored Work Visa assistance. Preferred Qualifications: · Experience in microscopy-based imaging techniques or omic data analyses
-
supervision from Dr. Kohler Present data to lab and group lab meetings. Write project summaries and manuscripts. Supervision of students and Professional Research Assistants within the lab Work Location: Onsite
-
include contributing to the ideation and design of new studies, assisting data cleaning and preparation, and supporting the development of scientific communications such as abstracts, conference
-
sgRNA design. · Perform molecular and cellular assays to investigate gene regulation, extracellular vesicle signaling, and therapeutic efficacy. · Analyze and interpret data, prepare
-
, including design of experimental setup, data generation, data interpretation, and manuscript writing, with the following key responsibilities: Wet lab responsibilities : Conducting molecular biology
-
Hematology Division. This position is involved in studies aimed at defining the biology of acute myeloid leukemia stem cells. Specifically, the Fellow will help investigate the role of metabolism in
-
the School of Medicine’s Hematology Division. This position is involved in studies aimed at defining the biology of acute myeloid leukemia stem cells. Specifically, the Fellow will help investigate
-
with flow cytometry Excellent communication skills Excellent writing skills Demonstrates the proficiency in computer software How to Apply: For full consideration, please submit the following document(s
-
skills by applying for institutional or other small grants · Teaching (10%) Teach/supervise students, professional research assistants, and other lab members Work Location: Onsite - this role is
-
Responsibilities: · Develop novel statistical methods for robust pathway analsysis · Develop novel statistical methods for spatial transcriptomics data analysis · Data management · R