28 phd-position-computer-science-"https:"-"UCL" Postdoctoral positions at Cornell University
Sort by
Refine Your Search
-
Cornell University, Information Science Position ID: Cornell-IS-POSTDOC [#31443] Position Title: Position Type: Postdoctoral Position Location: Ithaca, New York 14850-4623, United States of America
-
York 14853, United States of America [map ] Subject Areas: Bioinformatics Genomics / Plant Computational Biology Genetics / Quantitative Appl Deadline: none Position Description: Apply Position
-
College of Computing and Information Science under the direction of Principal Investigator Rene Kizilcec. The NTO is a collaboration among Cornell University, Carnegie Mellon University, and the
-
health To be eligible, candidates must: Have received a PhD in computer science, information science, bioinformatics, biostatistics, mathematics, nutrition, epidemiology, biomedical engineering, medicine
-
formative and summative assessments of systems-thinking skills at the course and program levels; support scaffolding systems-thinking pedagogy across the E&S curriculum. The position is supported by Cornell’s
-
Postdoctoral Associate - National Tutoring Observatory, Information Science The National Tutoring Observatory (NTO) will be centered at Cornell’s Ann S. Bowers College of Computing and Information Science
-
. The position is supported by Cornell’s Active Learning Initiative (ALI). The Postdoctoral Associate will participate in ALI programming, including weekly fellows’ meetings and program evaluations such as surveys
-
Cornell University, School of Integrative Plant Science - Section of Plant Pathology and Plant-Microbe Biology Position ID: Cornell-School of Integrative Plant Science - Section of Plant Pathology
-
AM UnitedKingdomTime, listed until 2026/04/17 04:59 AM UnitedKingdomTime) Position Description: Apply Position Description The Cornell Laboratory for Accelerator-based Sciences and Education (CLASSE
-
, abstracts for conferences, grant proposals Data analysis and pipeline development Technology-based solutions for advancing population health To be eligible, candidates must: Have received a PhD in computer science