Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Field
-
Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 1 day ago
knowledge in computer vision, deep learning, and embedded systems. The research involves tailoring the latest algorithms developed by leaders in the field for object detection and pose estimation to track and
-
Organization U.S. Department of Energy (DOE) Reference Code DOE-CEIF-CANDIDATE-2024-0001 How to Apply To apply as a Fellow, click on Apply at the bottom of this page. If you have any questions about
-
Description The successful candidate will support faculty research in a number of areas. Job responsibilities include data cleaning, data analysis and implementation of statistical and machine learning methods
-
Non-College Work-Study-Student Research Assistant - (STU001840) Student Research Assistant Department Name:D0019 Computer Sci & Engr Technology Description The Computer Science and Engineering
-
Overview Ranked #49 in U.S. News & World Report’s list of Best Public Colleges and Universities, Rutgers University–Camden is a diverse, research-intensive campus of approximately 6,100 students
-
system, and a variety of web-based programs. Demonstrated ability to create and maintain databases, perform standard computer tasks, learn new programs/applications with minimal direction. Ability
-
consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education
-
machine learning applications in ecology, open science ethics and data sovereignty for environmental data, data-intensive exploration of evolutionary processes, big data and environmental justice, or other
-
Postdoctoral Associate: Endangered Bird Conservation in the Western U.S., Cornell Lab of Ornithology
with birds Preferred Qualifications: Experience conducting passive acoustic surveys, experience working with large acoustic datasets, and familiarity with machine learning tools Experience with survey
-
approaches such as transcriptomics, proteomics, CyTOF and metabolomics. Developing cloud computational infrastructure, integrating multi-omics datasets and applying machine learning methods to high dimensional