Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
- Computer Science
- Engineering
- Biology
- Medical Sciences
- Education
- Business
- Chemistry
- Statistics
- Earth Sciences
- Environment
- Materials Science
- Physics
- Electrical Engineering
- Psychology
- Social Sciences
- Design
- Law
- Mathematics
- Science
- Economics
- Humanities
- Sports and Recreation
- Arts and Literature
- Philosophy
- 14 more »
- « less
-
clinically relevant predictive models. The lab also maintains extensive collaborations with experimental and computational scientists across multiple academic, industry, and government partners. Trainees
-
prepare equipment data, build and evaluate predictive models, and translate results into decisions that make sense on the plant floor. Work collaboratively with other project team members and the faculty
-
visibility. A prestigious three-year MSCA Fellowship. A competitive salary including mobility and family allowances. DC09: Improvement of IVRT and IVPT test procedures to make them more predictive of
-
position that we support the transition across an immensely broad range of topics: from model-predictive building control and community battery integration to wind farm optimisation and multi-decade
-
position that we support the transition across an immensely broad range of topics: from model-predictive building control and community battery integration to wind farm optimisation and multi-decade
-
ultimately shifts in species' distributions. This project harnesses research in ecological and agent-based modelling, machine learning, and AI to increase the predictive power of models of species
-
innovation project with a Swiss industrial partner. The focus is on sensor-based and model-based methods for real-time condition assessment and predictive maintenance of safety-critical mechanical
-
accepted all year round Details Dynamic optimization is integral to many aspects of science and engineering, commonly found in trajectory optimization, optimal control (e.g. model predictive control
-
contributing proteins using SHAP values, model coefficients, and network-based analyses Integration of predictive proteins with molecular signatures related to aging, inflammation, mitochondrial
-
thermodynamics of molecular interactions at interfaces, you will develop a comprehensive predictive model describing the strength of binding, conformations and behaviour of surface-active agents at