Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Sweden
- United Kingdom
- Norway
- Australia
- France
- Belgium
- Germany
- Netherlands
- Denmark
- Singapore
- Spain
- Luxembourg
- Portugal
- Italy
- Canada
- Finland
- Switzerland
- Austria
- Cyprus
- Ireland
- Morocco
- China
- Hong Kong
- United Arab Emirates
- Poland
- Japan
- Saudi Arabia
- Latvia
- Czech
- Estonia
- Vietnam
- India
- Lithuania
- Macau
- Andorra
- Armenia
- Bangladesh
- Croatia
- Kyrgyzstan
- Malta
- Mexico
- Romania
- Slovakia
- Worldwide
- 35 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Economics
- Medical Sciences
- Biology
- Science
- Business
- Materials Science
- Mathematics
- Environment
- Electrical Engineering
- Arts and Literature
- Education
- Chemistry
- Earth Sciences
- Humanities
- Psychology
- Social Sciences
- Linguistics
- Law
- Philosophy
- Physics
- Design
- Sports and Recreation
- 14 more »
- « less
-
/InstituteŁukasiewicz Research Network - PORT Polish Center for Technology DevelopmentCountryPolandCityWrocławPostal Code54-066StreetStabłowicka 147Geofield Contact City Wrocław Website https://port.lukasiewicz.gov.pl
-
advance DUMAC’s quantitative processes, develop and refine analytical models, and guide investment research that informs long‑term strategic decisions. Your work will directly support the financial
-
building technology, HVAC system study and optimization, sustainable building design, and building energy modelling, for built environment applications is preferred. Knowledge in test instrumentation, PLC
-
Systems Engineering (Health Systems Data Analysis, Modeling, Computing, and Cloud-Based Health Systems Analytics and Decision Support Platforms) as part of the CTECH Postdoctoral Fellows program. This
-
. We invite passionate and innovative educators to join our mission-driven team, where you can enjoy a fulfilling work-life balance and competitive benefits, including a robust pension plan. Our
-
engineering Machine learning or AI methods (e.g. anomaly detection, classification, regression, time-series modelling) Programming skills (e.g. Python, MATLAB or similar) Experience with industrial systems
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 31 minutes ago
remote work location, consistent with System Office policy. UNC Chapel Hill employees are generally required to reside within a reasonable commuting distance of their assigned duty station. The Data-Driven
-
and uncertainty (e.g. demand evolution, renewable generation) influence system performance and trade-offs. The research will combine analytical modelling with data-driven and AI-based methods
-
care for patients requiring urgent or emergent intervention. The fellowship provides comprehensive training in data engineering, exploratory analysis, statistical modeling, machine learning, and artificial
-
will be leaders in promoting justice and the public good in the new age of technology and globalization. The Associate Dean for Strategic Initiatives, Admissions and Financial Aid works closely with