163 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Rutgers University
Sort by
Refine Your Search
-
Position Details Position Information Recruitment/Posting Title Post-Doctoral Associate Department SASN CPRA Salary Details Offer Information Benefits Rutgers offers a comprehensive benefit program
-
grant-funded research pertaining to the computational basis of reading and acquired reading impairments at the Rutgers site, under Dr. William Graves’ supervision. 1. Designing and implementing
-
status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait
-
and brain samples. Regular use of a computer is also required. Overview Statement Posting Details Special Instructions to Applicants Applicants must upload a cover letter, C.V., and the names and
-
The successful applicant should have a recent PhD degree in a Plant Pathology/breeding or related discipline, such as plant biology, mycology, horticulture, microbiology, and skills and experience in phenotypic
-
of RNA polymerase and transcription complexes and/or ribosomes and translation complexes preferred. Effective spoken and written English required. High level of computer literacy required. Experience in
-
, sitting, walking, talking or hearing. No special vision requirements. Must be able to lift or exert up to 25 pounds. Work Environment: Office environment and Substance Abuse Treatment settings. Posting
-
service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category
-
(classic; Bayesian), machine learning, or other statistical approach with accompanying expertise in whatever stats package(s) is desired (SPSS; R; Stata; SAS; NumPy or PsyPy; etcetera). A strong ability to
-
Minimum Education and Experience: Requires a PhD or other relevant doctoral or scientific and/or training (examples of relevant fields include health services research, public health, health economics