Sort by
Refine Your Search
-
, minimal residual disease (MRD) detection, and the multi-omic characterization of various cancer types. Required Qualifications: PhD in related fields such as computational biology, cancer biology, and
-
: 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
-
Posted on Mon, 09/30/2024 - 16:33 Important Info Faculty Sponsor (Last, First Name): Mackall, Crystal Other Mentor(s) if Applicable: Zinaida Good, PhD Stanford Departments and Centers: Stanford
-
of infectious diseases research and provides a strong community of scientific colleagues and students. Required Qualifications: The ideal candidate will have a PhD in Epidemiology, Engineering, Data Science
-
a PhD in the field of molecular and cellular cancer biology, relevant publications, curiosity for science and innovative thinking, and high fluency in English. Experience with 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
-
Posted on Thu, 03/20/2025 - 22:13 Important Info Deprecated / Faculty Sponsor (Last, First Name): Dirbas, Frederick MD Other Mentor(s) if Applicable: Billy Loo, MD, PhD, Ted Graves, PhD Stanford
-
the ROAR platform to better support impact in schools. An ideal candidate wants to translate the expertise gained from their PhD into social impact. Required Qualifications: Expertise in dyslexia research
-
includes contributing to the establishment of a new central laboratory resource, offering these advanced genetic tools to broader research initiatives. Required Qualifications: PhD Required Application
-
, mouse models, standard molecular biology and biochemistry, FACS/flow-cytometry analysis, genetic manipulation of cells (e.g., CRISPR), and microscopy. Candidates with experience in computational analysis