Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Netherlands
- United Kingdom
- France
- Germany
- Denmark
- Sweden
- Norway
- Portugal
- Spain
- Australia
- Belgium
- Finland
- United Arab Emirates
- Switzerland
- Canada
- China
- Singapore
- Morocco
- Austria
- Estonia
- Greece
- Poland
- Hong Kong
- Italy
- Luxembourg
- Ireland
- Malta
- New Zealand
- Saudi Arabia
- Slovenia
- South Africa
- 22 more »
- « less
-
Program
-
Field
-
to test the effectiveness of different courses of action. In addition, uses a variety of data mining and analysis methods, using a range of data tools, building and implementing models, using and creating
-
networks have embraced new frequency bands in order to meet increasing user throughput demands. In the cellular world, frequency ranges (FRx) have been defined, corresponding to different carrier frequencies
-
academic year. Tenure-track faculty normally teach 2 different courses, with each section typically consisting of 22-28 students. Faculty is required to conduct research, provide high quality teaching and
-
to statistically and systematically assess the quality of official network maps. Could this be done differently? Is it possible to systematically analyse all trench documentation using data-driven methods to better
-
difference not only in the lives of our faculty, staff, and students, but also those who are impacted by our first-class academic and research programs. UT Austin provides outstanding employee benefits and
-
use of data and algorithms. Excellent written and verbal communication skills and ability to communicate effectively with a variety of different stakeholders, e.g., academics, business executives
-
cornerstone of our undergraduate curriculum, reflecting our commitment to using technology to improve the world. If you're passionate about making a meaningful difference, the computer science department is the
-
district heating networks, within the framework of the project "Data Analysis for Peak Load Stabilisation in District Heating Networks (DAS)". The work includes: design and implementation of RL algorithms
-
to 3 different courses, with each section typically consisting of 22-28 students. Lecturers will be expected to provide high-quality teaching, student advisement, and learning support services, as
-
. Programming & Data Analytics (20%) Develop and implement algorithms for system identification, condition assessment, and structural health monitoring. Apply statistical and computational tools to assess