-
or MD/PhD Strong programming skills, preferably in R and/or Python Previous expertise and/or interest in single-cell sequencing technologies, bioinformatics, spatial analyses, and generative AI is desired
-
. The project provides a unique opportunity to use clinically relevant animal models, transgenic mice, in vitro and ex vivo cultures, live cell and tissue imaging, single cell technologies, and bioinformatic
-
: Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics or related field including bioengineering, computer science, statistics, or mathematics. Strong
-
: Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics, biomedical data science, biomedical engineering, computer science, electrical engineering, statistics
-
and cancer. Individuals with backgrounds in stem cell biology, cancer biology, molecular biology, immunology, and bioinformatics, are all welcome to apply. Lab techniques include mammalian cell culture
-
Qualifications: Doctoral degree (PhD or equivalent) in Genomics, Bioengineering, Biology, Biochemistry, or a related field. Experience in developing single-cell sequencing technologies is highly desirable. Prior
-
chromatin structured contexts. Ideal for those with experience in cell culture, molecular biology, and seeking to acquire or strengthen expertise in gene editing methodologies, bioinformatics, and DNA DSB
-
Posted on Thu, 07/11/2024 - 00:48 Important Info Faculty Sponsor (Last, First Name): Dirbas, Frederick Other Mentor(s) if Applicable: Andrew Newman, PhD; Michael Clarke, MD Stanford Departments and
-
prepare manuscripts for publication. Lastly, there will be opportunities to mentor and train students and other learners. Required Qualifications: This position is for an individual with a PhD in immunology