115 parallel-computing "Institute of Computer Science" Postdoctoral research jobs at Indiana University
Sort by
Refine Your Search
-
Drug repurposing or translational genomics R, Python, Linux or cloud computing platforms Department Contact for Questions Applicants should submit : · Curriculum Vitae · Brief statement of research
-
decision making, cognitive science, and quantitative modeling. This postdoctoral appointment is full-time and on-campus. Job Duties 80% – Research Develop computational models of dynamic judgment and
-
science, microbiology, or a related scientific field by the time of appointment. We are looking for candidates with: Experience with molecular microbiology methods (e.g., nucleic acid extraction, qPCR
-
optimization of quantum algorithms for hybrid quantum simulators. Applicants should have a PhD in Physics, Chemistry, Computer Science, or a closely related field. To apply, a CV, a brief statement of
-
optimization of quantum algorithms for hybrid quantum simulators. Applicants should have a PhD in Physics, Chemistry, Computer Science, or a closely related field. To apply, a CV, a brief statement of
-
optimization of quantum algorithms for hybrid quantum simulators. Applicants should have a PhD in Physics, Chemistry, Computer Science, or a closely related field. To apply, a CV, a brief statement of
-
optimization of quantum algorithms for hybrid quantum simulators. Applicants should have a PhD in Physics, Chemistry, Computer Science, or a closely related field. To apply, a CV, a brief statement of
-
Systems Engineering Location Bloomington Position Summary AI-Enabled Immune Digital Twin & Organ damage Mechanistic Model Scientist: Postdoctoral Fellow; Biocomplexity Institute at Indiana University
-
, in one of the following areas: Economics, Political Science, Computer Science, Informatics, Law, Business, Ethics, Public Policy, Media Studies, Anthropology, Sociology, Education, Psychological and
-
and anxiety—and improving their treatment through data-driven, empirically grounded approaches. We are interested in the intersection of technology, mental health, and data science in clinical