106 associate-professor-computer-science-"https:"-"https:"-"https:"-"https:" positions at Stanford University
Sort by
Refine Your Search
-
facility. American Association for Laboratory Animal Sciences (AALAS) certification as a Laboratory Animal Technologist (LATG). Experience and success in establishing productive relationships within a
-
advancing research technologies into clinical applications. Learn more at https://med.stanford.edu/ctru.html . We are seeking two 2-Year Fixed Term Life Science Research Professional 1’s to be the main
-
. The Department of Anesthesiology, Perioperative, and Pain Medicine, is seeking a Clinical Research Coordinator Associate (Fixed-term 1 year) to perform duties related to the coordination of clinical
-
knowledge of science principals to problem solve work. Ability to maintain detailed records of experiments and outcomes. General computer skills and ability to quickly learn and master computer programs
-
Accelerator drives new policy and technology solutions through a worldwide network of partners who work with our teams to develop solutions at a global scale. The school is dedicated to creating and supporting
-
Stanford University is seeking a Life Science Research Professional 2 to assist in developing and deploying a pooled cell engineering platform using single-cell genomics and high-throughput gene
-
the museum’s goals within an equitable, collaborative, and creative work environment. Reporting to the Associate Director of Registration, the Associate Registrar, Loans and Exhibitions will independently
-
interest in translational science. The postdoctoral fellow will work closely with Dr. Vivek Charu and Dr. Brooke Howitt. Required Qualifications: PhD in Biostatistics, Bioinformatics, Computational Biology
-
and transplantation and to translate this knowledge into improved treatments. Required Qualifications: Individuals with a recent MD or PhD degree with skills in computational biology, bioinformatics
-
degree (PhD, MD, or equivalent) or Master’s degree in a relevant field (e.g., Computer Science, Biomedical Engineering, Public Health, Surgery) Experience in clinical research, data analysis, or machine