Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- France
- Sweden
- Germany
- Portugal
- Netherlands
- Italy
- Spain
- Singapore
- Norway
- Belgium
- Denmark
- Canada
- Japan
- Hong Kong
- Poland
- Australia
- Luxembourg
- Morocco
- Ireland
- Switzerland
- Lithuania
- United Arab Emirates
- Austria
- China
- Czech
- Estonia
- Malta
- Saudi Arabia
- Brazil
- Cyprus
- Israel
- Slovakia
- Vietnam
- Croatia
- Europe
- Finland
- Greece
- Romania
- Slovenia
- 31 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Economics
- Science
- Biology
- Materials Science
- Mathematics
- Electrical Engineering
- Chemistry
- Earth Sciences
- Environment
- Business
- Education
- Humanities
- Linguistics
- Arts and Literature
- Physics
- Psychology
- Social Sciences
- Sports and Recreation
- Law
- Philosophy
- 13 more »
- « less
-
. Optimal sensor placement, identified through adjoint-based sensitivity analysis to improve assimilation efficiency. By embedding physical laws into data assimilation, these methods bridge the gap between
-
trained in and ultimately read and interpret proprietary building automation system dashboards (e.g. Johnson Controls), respond to equipment sensors and alarms that send data and readings to a dashboard
-
of simulated sensors (vision, sonar, LiDAR, inertial navigation). - Implementation of guidance, control, and planning algorithms under environmental constraints. - Implementation of distributed simulation
-
smart electrical grid that increasingly relies on the use of intermittent renewable energy sources. Modern integrated building automation and control systems create an environment rich with sensor data
-
driven research team who are at the forefront of sensor technologies development and feedback process control for quality assurance tools and the next generation of renewable energy development. You will
-
pushing promising technologies from low TRL to high TRL. To this end, the research group develops its activities along two research lines concerning magnetic field sensors and spin dynamics. This position
-
). ------------------------------------------------------------------------------------------------------------------------------------------------------------------------ -----------------------------------------------------------------------------------------------------------------------------...
-
position within a Research Infrastructure? No Offer Description About the job To lead the technical development, optimisation, validation, and field deployment of a smart optical nitrate sensor platform
-
development to support extended reality technologies, machine learning pipeline integration, integration of sensors/devices to mobile platforms, and creating novel clinical decision support applications for our
-
an inclusive community of dedicated problem-solvers who hold themselves - and one another - to the highest academic and professional standards. To learn more about us, please visit https://seas.harvard.edu