Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- France
- Sweden
- Netherlands
- Australia
- Spain
- Belgium
- Denmark
- Portugal
- Norway
- Austria
- Italy
- Ireland
- Poland
- United Arab Emirates
- Canada
- Finland
- Hong Kong
- Singapore
- Japan
- Luxembourg
- Switzerland
- Morocco
- Czech
- China
- Estonia
- Romania
- Cyprus
- New Zealand
- Lithuania
- Greece
- Brazil
- Latvia
- Bulgaria
- India
- Europe
- Iceland
- Malta
- Saudi Arabia
- Slovakia
- Slovenia
- South Africa
- Ukraine
- Vietnam
- Egypt
- Israel
- Mexico
- Andorra
- Bangladesh
- Croatia
- Fiji
- Kyrgyzstan
- Taiwan
- Turkey
- Worldwide
- 47 more »
- « less
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Biology
- Business
- Science
- Mathematics
- Education
- Materials Science
- Arts and Literature
- Social Sciences
- Psychology
- Chemistry
- Law
- Humanities
- Electrical Engineering
- Environment
- Linguistics
- Sports and Recreation
- Earth Sciences
- Philosophy
- Physics
- Design
- Statistics
- 15 more »
- « less
-
analyses. The work will involve network analysis, computational modeling, and simulation of control strategies for healthcare‑associated infections. Candidate profile: Applicants should hold a PhD in network
-
the course, IN6242 Deep Learning Foundations. The course is offered in the Wee Kim Wee School of Communication and Information's MSc in Information Systems (MSIS) programme. The course aims to teach students
-
. - Knowledge of network and computer operating systems, as well as network services, protocols, and standards. - Utilize working knowledge of packet-level analysis tools. - Familiarity with Virtual Local Area
-
knowledge and enthusiasm to help the network make important research breakthroughs. • Master’s degree in physics, computational physics, atmospheric science, atmospheric chemistry, high-energy physics or a
-
motivated candidates with the skills, background knowledge and enthusiasm to help the network make important research breakthroughs. • Master’s degree in physics, electronics, computational physics
-
information systems. Three years or more of experience working in one or more of the following fields: network services, information technology, or network operations. Demonstrated knowledge of professional
-
evaluation of advanced applications for network benchmarking, road hazard warning, and pseudo-remote driving supported by computer vision, while also supporting the broader research and integration activities
-
. Building a world-class, transformational network and reliable administrative systems. ITS's mission is to be trusted enablers of technology for the U-M community. To learn more, visit: https://its.umich.edu
-
: JOB_POSTING-3-14725 Job DescriptionThis position provides reliable, secure, productive, and convenient networked data sharing, printing, and communication services to faculty, staff, administrators, and
-
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This research activity focuses on the design and evaluation of network