Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
demand to available renewable energy supply. You will assess the impact of flexibility options on the system and the integration of renewable energy, by estimating and quantifying socio-economic benefits
-
Supplementary Qualifications: Experience with computer vision and AI-based segmentation or object detection methods is preferred. Hands-on experience with underwater related sensor technologies such as optical
-
have a large public health, animal health, and economic impact in the EU. To establish priorities and support decision-making for control of zoonoses, it is important to estimate the overall societal
-
student will contribute to the research project by developing new methods for drone detection, tracking, and situational awareness. The project will involve: Designing and implementing experiments
-
monitoring and measurement techniques, this project aims to use the data-driven approach to perform battery state estimation on real-life use cases. DTU Wind offers you the opportunity to pursue your dreams
-
: A master's degree in data science/AI, Mathematics, Electrical and Computer Engineering, or a related field. Strong background in machine learning, data science, and optimization theory. Desired
-
should be implemented in a model for the trickle bed reactor including relevant mass transfer steps, and parameters in the kinetic model be estimated. Testing of the kinetic model against data
-
PhD scholarship in Design of automatic maintenance recommendation system for wind turbine components
currently possible for a better tomorrow. Responsibilities and qualifications Your primary tasks will be to: Design a monitoring system that can automatically estimate component response through processing
-
monitoring system that can automatically estimate component response through processing of sensor signals; Develop a prognostics module that estimates the likelihood of failure of a connection based on the
-
monitoring system that can automatically estimate component response through processing of sensor signals; Develop a prognostics module that estimates the likelihood of failure of a connection based on the