Sort by
Refine Your Search
-
. Preference will be given to candidates who are currently completing the last year of their PhD or graduated from their PhD program in the past year. Required Application Materials: Your CV Brief statement
-
, computational approaches, and advanced microscopy. Projects are designed to be tailored to the scholar’s interests, and additional details can be discussed following initial inquiry. About the Lab The Kalbasi Lab
-
Required Qualifications: PhD in Neuroscience, Bioengineering, Electric Engineering, Computer Science, Physics, or a related field Strong quantitative and analytical skills Experience in either experimental
-
will have connections to both the Molecular Imaging Program at Stanford (MIPS) and the Radiological Sciences Laboratory (RSL). The ideal candidate for this position will have interest in being trained in
-
, California 94305, United States of America [map ] Subject Areas: Applied Physics Chemistry Materials Science Quantum Optics Computer Science (more...) Quantum Gravity quantum gravity/quantum cosmology Quantum
-
genomics and single-cell spatial transcriptomics, participate in T cell-targeted therapy development, hone their computational, leadership, communication, and funding acquisition skills, and join the vibrant
-
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
-
Planetary Health (HPH) (link is external) and Project Unleaded (link is external) for an exciting postdoctoral fellowship that contributes to a high-impact global program with a mission to create a
-
. 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
-
. 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