107 phd-in-computational-mechanics-"Prof"-"Prof" Postdoctoral positions at Stanford University
Sort by
Refine Your Search
-
embryos This Human Frontier Science Program (HFSP) (link is external) funded project is in collaboration with the labs of Hervé Turlier (CIRB-CNRS) and Chema Martin (Queen Mary University of London). We
-
cultures to uncover the biological mechanisms underlying resilience in APOE4 carriers. EDUCATION AND EXPERIENCE: ● PhD in neuroscience, life sciences Required Qualifications: KNOWLEDGE, SKILLS, AND ABILITIES
-
. Required Qualifications: PhD in statistics, economics, computer science, operations research, or related data science fields Strong data science skills, including experience working with large, complex data
-
and pain research Required Qualifications: PhD (or equivalent) in epidemiology, health data science, biomedical informatics, biostatistics, public health, or a related field. Demonstrated experience
-
tumor spatial biology via single cell spatial analysis of the tumor microenvironment. Projects aim to reveal molecular mechanisms of drug resistance based on intercellular and intracellular regulation
-
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
-
: 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
-
) ) focuses on investigating the mechanisms underlying environmental toxicant-induced cardiovascular diseases and gene-environment interactions, with a specific emphasis on identifying modifiers of response
-
Application Materials: To apply, candidates must create an account on Slideroom (link is external) , the application platform used by the Abbasi Program in Islamic Studies, and upload the application materials
-
to investigate the molecular and cellular mechanisms of intercellular communication in the healthy brain and in tumor microenvironment (TME). The major focus of our lab is to advance technologies including single