Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
immunology and/or immunotherapy research Prior experience with in vivo mouse experiments Proficiency with flow cytometry Prior experience with CRISPR screens and RNA-Seq Proficiency in bioinformatics and
-
early development of the placenta, and a basic understanding or willingness to learn bioinformatics is desired. The candidate should be proficient in, or highly motivated to learn complex 3D culture
-
activities, participate in project meetings relevant to the design, development, implementation, and maintenance of data management system Perform scientifically rigorous data management and bioinformatic
-
learn new research skills based on your interests. These may include performing and analyzing high-throughput drug screening experiments, bioinformatic analyses (single-cell, metabolomics and proteomics
-
, cardiology, emergency medicine, pharmacotherapy) training or equivalent clinical training Three (3) years in pharmacy and/or data management and bioinformatic analyses experience Preferred Qualifications: Four
-
statistical genetics and bioinformatics-related projects in the lab. Contribute to mentorship and training, developing educational materials and guiding lab members on statistical genetics and computational
-
Cytometry Innate immune system experience Molecular biology Biochemistry Metabolism Cell culture Bioinformatics Knowledge, Skills and Abilities: Ability to communicate effectively, both in writing and orally
-
, bioinformatics, microscopy, statistical analysis, writing, presentation Subject-matter interest: immunology and/or neurobiology How to Apply: For full consideration, please submit the following document(s): 1
-
on the quantitative analysis of metabolically derived PTMs is highly desired. Special emphasis is placed on skills in animal handling coupled with therapeutic modalities, bioinformatics, and processing tissue samples
-
Diabetes, at the University of Colorado Denver-Anschutz Medical Campus. This is a full-time (1.0FTE) position that will utilize cellular, molecular, biochemical, genetic, imaging and bioinformatic