106 computer-programmer-"https:"-"Inserm" "https:" "https:" "https:" "CNRS" "Univ" Postdoctoral positions at Cornell University in United States
Sort by
Refine Your Search
-
, supported by a generous gift from Joan and Irwin Jacobs, will join the cadre of trainees at the Center including those supported by the NIH T32 AIPrN training program. The program is designed to train the
-
Associate will receive $70,000.00 in salary as well as a modest research budget and moving allowance. More information about the ILR School can be obtained at our web site, http://www.ilr.cornell.edu and
-
of the experiment, from data analysis to detector operations and HL-LHC detector upgrades. The successful candidate is expected to engage actively in CMS measurements as well as the smart pixels program (https
-
implement active learning techniques in larger courses (no more than two per semester), participate in the college-wide ALI program, including attending weekly ALI fellows’ meetings and facilitating ALI
-
about the ILR School can be obtained at our web site, http://www.ilr.cornell.edu and CAROW at https://www.ilr.cornell.edu/carow . Requirements: Applicant must have a PhD in labor relations, sociology
-
Bucks New York (DUFBNY): In partnership with the Field and Fork Network, we evaluate the implementation of DUFBNY where households with Supplemental Nutrition Assistance Program (SNAP) benefits receive
-
Jacobs, will join the cadre of trainees at the Center including those supported by the NIH T32 AIPrN training program. The program is designed to train the next generation of scientists and build a
-
assess candidate functions using CRISPR and transgenic approaches. Anticipated Division of Time Research (55%): The Postdoctoral Associate will play a leading role in conducting experimental, computational
-
computational biology, bioinformatics, computer science, electrical engineering, or a related field. 3+ years of experience achieving impactful results including publications using relevant AI/ML/related
-
candidate is expected to engage actively in analysis of CMS data and will have considerable freedom in developing this program. We are also particularly interested in strengthening the group working the CMS