Sort by
Refine Your Search
-
sequencing data analysis is preferred. The ideal candidate is detail-oriented, organized, and thrives in a collaborative, fast-paced environment. Key Responsibilities · Design and execute in vivo and in vitro
-
to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex (including
-
catabolic and pain-related molecules, as well as cellular (cartilage and dorsal root ganglia explant cultures) and molecular (qPCR, RNA-seq) analyses. Generate data associated with the pharmacologic
-
functional genomics Cell and molecular biology Neuroscience or neurobiology Bioinformatics, computational biology, and large-scale data analysis Choose Duke. Successful candidates will join a collaborative and
-
will play a central role in experimental design, rigorous data generation and validation, and manuscript preparation for high-impact publications. Be Bold. Choose Duke. This position is geared
-
and analytical skills with the ability to interpret complex experimental data (R, Python, genomics data experience) Excellent written and verbal communication skills and a collaborative, team-oriented
-
, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status
-
to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual
-
career goals Curriculum vitae Contact information for three references Representative publications or preprints, if available Review of applications will begin immediately and continue until the positions
-
cryo-EM workflow, including sample preparation/freezing, data collection, processing, and atomic model building. Biochemical/Biophysical Characterization: Managing protein engineering (cloning