Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
nationality usually up to the age of 26 in the case of students of engineering 36 in all other cases What is supported? Advanced students of engineering who are in their last year of studies complete a study
-
, mathematics, computer science are passionate about transportation research with a good grasp on the fundamentals of transportation systems optimization possess excellent research, academic writing, and
-
Master’s degree in Physics, Chemistry or Computer Science, or equivalent Interest in Physics, Chemistry and Machine Learning Good written and spoken English Ability to work both independently and in a team
-
Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally
-
available in the further tabs (e.g. “Application requirements”). Objective This scholarship programme allows scientists to carry out research with German colleagues at universities, universities of applied
-
available in the further tabs (e.g. “Application requirements”). Objective This programme offers former scholarship holders the opportunity to carry out research and working projects in Germany and to
-
available in the further tabs (e.g. “Application requirements”). Objective The programme aims at fostering strong, internationally oriented higher education systems in Southeast Asia with the capacity
-
positions are funded by the German Research Foundation (DFG) for 3 years, with the possibility of extension. Your profile: • Master's degree in a relevant field such as computer science, optometry, psychology
-
of requirements and scientific literature research Evaluation of the developed methods Preparation of scientific publications Recruitment requirements: Scientific university degree (Master) in computer science or a
-
and performing laboratory (wind-wave facility) experiments, using state-of-the-art imaging techniques developing computational codes to process and understand large experimental datasets (e. g., image