Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Australia
- United Kingdom
- Singapore
- Luxembourg
- France
- Belgium
- Germany
- Sweden
- Spain
- Canada
- Portugal
- Italy
- Netherlands
- Norway
- Denmark
- Poland
- Austria
- New Zealand
- Hong Kong
- Switzerland
- United Arab Emirates
- China
- Croatia
- Finland
- Ireland
- Cyprus
- Estonia
- Greece
- Latvia
- Brazil
- Bulgaria
- Czech
- Europe
- Israel
- Japan
- Malta
- Morocco
- Slovenia
- 29 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Economics
- Medical Sciences
- Business
- Arts and Literature
- Science
- Biology
- Mathematics
- Design
- Education
- Earth Sciences
- Materials Science
- Linguistics
- Psychology
- Chemistry
- Social Sciences
- Environment
- Electrical Engineering
- Humanities
- Law
- Philosophy
- Physics
- Sports and Recreation
- 14 more »
- « less
-
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description: At the University of Vienna, almost 11,000 people work
-
of collaboration with top researchers within cybersecurity, networking, AI planning, and cloud computing, both within our department and two other universities in Sweden (KTH and Umeå University). The project is
-
major data science application domains (e.g., healthcare, medical devices, social networks) or societal infrastructures (e.g., transportation, smart grids, smart cities, cloud computing). All candidates
-
the Enrollment Office to streamline integration of enrollment technologies with enterprise systems (LMS, SIS, ERP, Office 365) Manage integrations between enterprise systems and cloud-based platforms using REST
-
transcriptomics. Experience with Neuro Degeneration biomarker datasets (PET, MRI, immunoassays, ADNI). Prior experience working in collaborative, fast-paced research environments. Familiarity with cloud computing
-
. Experience using Emburse. Experience managing multiple calendars. Event coordination and planning experience. Knowledge of SharePoint or Google Docs or other cloud-based storage. Ability to deal effectively
-
Creative Cloud, Digital Audio Workstations, non-linear editing systems, live production tools). Manage software for equipment check out (Connect2) and ensure equipment storage is accessible and well
-
with experience in ligand discovery. Our research group is focused on developing state-of-the-art computational methods for ligand/drug discovery, using machine learning, high-performance/cloud computing
-
, Cybersecurity, Human Centered Computing (including Information Visualization, Human Computer Interaction, Social Computing, Pervasive & Ubiquitous Computing), Network Science, Cloud Computing, Information System
-
(Taicang), please visit: https://www.xjtlu.edu.cn/en/study/departments/entrepreneur-college-taicang/ ABOUT THE SCHOOL OF CHIPS The School of CHIPS is one of the seven industry-themed Schools in the XJTLU