Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Norway
- Sweden
- France
- Netherlands
- Denmark
- Portugal
- Germany
- Belgium
- Singapore
- Spain
- Ireland
- Poland
- Australia
- Finland
- Italy
- Canada
- Estonia
- Japan
- Switzerland
- Austria
- Czech
- Luxembourg
- Romania
- United Arab Emirates
- Andorra
- Barbados
- China
- Latvia
- Malta
- Saudi Arabia
- 22 more »
- « less
-
Program
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Economics
- Science
- Materials Science
- Business
- Earth Sciences
- Mathematics
- Chemistry
- Linguistics
- Electrical Engineering
- Environment
- Psychology
- Social Sciences
- Education
- Law
- Philosophy
- Arts and Literature
- Physics
- Humanities
- Sports and Recreation
- 13 more »
- « less
-
Control License (may be obtained within first 6 months of employment). Desired Demonstrated successful ability in taking direction, working well with others and as a leader of a team. Excellent verbal and
-
sources. Implement predictive, rule-based, or optimisation-based control strategies using MATLAB/Simulink, Python, or embedded software tools. Integrate controller logic with the microgrid model and
-
difficult to predict. Please review courses offered in the department and indicate which ones you believe yourself to be qualified to teach. Classes most often in need of an instructor include: CFS 31 (Family
-
of interest to you. PhD position combining high dimensional data for the genomic prediction of methane emissions. Wageningen University & Research’s Animal Breeding and Genomics group leads the Global Methane
-
for control” funded by the EU Partnership on Animal Health and Welfare (EUPAHW, https://www.eupahw.eu/ ). Supervisors Dr Timothée Vergne is an Associate Professor of Veterinary Public Health at the National
-
is searching for a Control Engineer for developing health-aware model predictive control (MPC) for fuel cell hybrid electric vehicles (FCHEVs). Fuel Cell HEVs provide a long-term solution to
-
relying on up-to-date research, the program strives to help growers produce high quality vegetables while minimizing pesticide inputs. The program also develops real-time GIS-based predictive models of pest
-
statistical methods. Supported by the ARPA-E TEOSYNTE and CERCA projects, this position is part of a national effort to improve nitrogen use efficiency on farms by modifying genetic pathways that control root
-
Robot Control from Expert Demonstrations and Self-Experience”. Learning-based predictive decision-making for autonomous systems under uncertainty: This PhD project is focusing on advancing proactive
-
policies from a minimal number of real examples; implementing and evaluating real-time task-execution monitoring and failure-prediction modules that leverage the digital twin as a safety validation