Sort by
Refine Your Search
-
Required Qualifications: PhD in Neuroscience, Bioengineering, Electric Engineering, Computer Science, Physics, or a related field Strong quantitative and analytical skills Experience in either experimental
-
Information Science Physics Quantum Condensed Matter Theory Quantum Computing Electrical Engineering Appl Deadline: 2025/11/01 11:59PM Description: Apply Description The Stanford-SLAC Quantum Initiative, Q-FARM
-
Posted on Mon, 08/04/2025 - 11:14 Important Info Deprecated / Faculty Sponsor (Last, First Name): Wolak, Frank Stanford Departments and Centers: FSI Program on Energy and Sustainable Development
-
. She is also a faculty member in the Biophysics Program and a Faculty Fellow of the Sarafan ChEM-H (Chemistry, Engineering and Medicine for Human Health) Institute. Cegelski’s PhD in Chemistry and
-
their skills in translational biomedical innovation with potential impact in both academic and industrial settings. Required Qualifications: PhD in bioengineering, biomedical engineering, mechanical engineering
-
. Qualifications for this position include a PhD in Computer Science, Artificial Intelligence, Natural Language Processing, Human-Computer Interaction, or a closely related field. Candidates should have demonstrated
-
decisions are made under pressure, and how technology can support (rather than hinder) patient care. The postdoctoral scholar will use modern data science tools and cloud computing to analyze high-dimensional
-
faculty, PhD students and researchers. The ideal candidate will have earned a Ph.D. in applied science and engineering discipline, with demonstrated expertise in a complementary area (e.g., a Ph.D. in
-
external) Candidates from a diverse background are encouraged to apply. The applicant may hold a PhD either in physical sciences/engineering with a strong interest in translational research and motivation
-
Program at the Stanford Cancer Institute. She has an academic interest in Precision Medicine and her lab applies cutting-edge sequencing and imaging technologies to better understand skin cancer and rare