-
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, signal processing, machine learning, and related fields are encouraged to apply. The fellow will play a key role in advancing the objectives of the R01, contributing to the development
-
bioinformatic data is highly desirable. Work Location: This role is expected to work onsite and is located in Aurora, CO. Why Join Us: You will be working in an environment conducting new neuroscience research in
-
, bioinformatics, computational sciences, data science, machine learning, biostatistics, applied mathematics, computer science, or related fields. Preferred Qualifications: At least 3 years of experience in R
-
Institute as well as Genomics, Bioinformatics, and Organoid Shared Resources. The Department of Dermatology is determined to lead in cutting-edge dermatologic care, research, and education. As
-
relevant scientific area such as Computational Biology, Computer Science, or Bioinformatics Preferred Qualifications: Prior experience with high-performance computing platform. Prior experience with high
-
molecule/drug applications. Bioinformatics and/or programming expertise in languages such as R and Python. Knowledge, Skills and Abilities: Solid understanding of common cellular and molecular mechanisms