-
by computational, analytical and experimental techniques. The knowledge thus obtained is used in a wide range of applications from all areas of Electrical Engineering, with particular attention
-
findings at conferences and publish in top-tier scientific journals The Green Tissue Engineering consortium This PhD project is part of the Gravitation programme GreenTE (Green Tissue Engineering), a
-
equivalent university degree) in Computer Science, Human-Computer Interaction, Design, Psychology, or Software Engineering. Experience or interest in researching and designing for sensitive settings
-
, mechanical engineering or related subjects. A research oriented attitude. Knowledge of computational (fluid dynamics) methods and parallel (GPU) programming are an asset. Ability to work in a team. Fluent in
-
of Technology and be part of an exciting project funded by the InterReg Flanders/Netherlands program. Irène Curie Fellowship No Department(s) Industrial Engineering and Innovation Sciences Reference number
-
Fellowship No Department(s) Mathematics and Computer Science Reference number V32.7545 Job description We are seeking an enthusiastic PhD candidate to develop novel ideas to establish trust in deep learning
-
Irène Curie Fellowship No Department(s) Mechanical Engineering Reference number V35.7553 Job description Are you interested in working in a research consortium with esteemed partners from both
-
Irène Curie Fellowship No Department(s) Electrical Engineering Reference number V36.7488 Job description Are you inspired by complex wave phenomena and large-scale full-wave computational methods
-
Irène Curie Fellowship No Department(s) Applied Physics and Science Education Reference number V34.7529 Job description Are you eager to work on fundamental plasma physical problems that find direct
-
analytical and communication skills are encouraged to apply. A MSc degree in Mechanical Engineering, Electrical Engineering, Computer Science, Cybernetics, or a related discipline is required, as well as a