125 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Rutgers University
Sort by
Refine Your Search
-
research laboratory, excellent communication skills, excellent computer literacy. This research over a large span of life science topics and technical approaches, including genetics, biochemistry, cell
-
experience in a research laboratory, excellent communication skills, excellent computer literacy. This research over a large span of life science topics and technical approaches, including genetics
-
Minimum Education and Experience Candidates shall have completed all requirements for a PhD in building sciences, engineering, architecture, urban planning, energy economics, public informatics, or a
-
Experience PhD is required along with knowledge of computer programming, statistical analysis, and genome evolution. Certifications/Licenses Required Knowledge, Skills, and Abilities The position requires
-
, on program implementation and outcomes, along with producing peer-reviewed publications and public reports. The Associate will also lead the coordination of statewide and local research and practice learning
-
Experience A successful postdoctoral candidate should hold a PhD in structural biology, biochemistry, biophysics or related field and have an established track-record of publications in peer-reviewed journals
-
to oversee research activities outlined in NSF Grant 2520154 “Understanding Expectation-Driven Learning in Early Childhood: An Experimental and Computational Investigation,” under the supervision of Dr. Kimele
-
execute experiments, analyze complex data sets, and interpret physical measurements. Experience with vacuum-based systems, surface or solid-state characterization, and scientific computing is preferred
-
Qualifications Experience in quantitative modeling, stock assessment, population dynamics, statistics, and computer programming (R, Python, Matlab, Template Model Builder, AD Model Builder) are preferred
-
Qualifications Experience in quantitative modeling, stock assessment, population dynamics, statistics, and computer programming (R, Python, Matlab, Template Model Builder, AD Model Builder) are preferred