54 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "University of Waterloo" Fellowship positions at Indiana University
Sort by
Refine Your Search
-
Quantum Materials and Devices – Deng Research Group Prof. Bingchen Deng (https://luddy.indiana.edu/contact/profile/index.html?bingchen_deng) in the Department of Intelligent Systems Engineering at Indiana
-
quantum many-body theory with a focus on quantum impurity models (particularly Kondo model). Strong computational skills (with Python or Julia or C++ or Matlab or equivalent) and using numerical techniques
-
, balanced homodyne detection; keywords in theory includes: relativistic quantum information science, quantum field theory, quantum optics, quantum fluctuations of the vacuum, Unruh-DeWitt detector model
-
: https://faculty.medicine.iu.edu/relocation . The search will continue until the positions are filled. Basic Qualifications Required Qualifications: Ph.D. (by start date) in Computer Science, Biomedical
-
theoretical condensed matter physics. Applications from candidates with experience in low-dimensional quantum matter, including quantum Hall systems, van der Waals and moiré materials, cavity quantum
-
assistants • Write scientific publications and present findings Required Qualifications • MA in computational social science, digital humanities, computer science, or related field • Python proficiency
-
optical imaging (Leung Research Group) The Leung Research Group (https://sites.google.com/view/LeungGroup) in the Department of Intelligent Systems Engineering at the Luddy School of Informatics, Computing
-
of Biostatistics and Health Data Science at Indiana University School of Medicine, in close collaboration with the Regenstrief Institute, a nationally renowned center for health informatics research and real-world
-
at Indiana University invites applications for a postdoctoral fellow position in the area of theoretical condensed matter physics. Applications from candidates with experience in low-dimensional quantum matter
-
or interest in the use of artificial intelligence, machine learning, or computational tools in behavioral and experimental economics is appreciated. Strong emphasis will be placed on demonstrated research