31 computer-engineer "https:" "https:" "FORTH" "Universidade do Minho CTAC" PhD positions at DAAD
Sort by
Refine Your Search
-
the Federal Ministry of Research, Technology, and Space (BMFTR). It includes an interdisciplinary training program based on the concept of a graduate school. In the 2nd year there is the option of increasing
-
of Photogrammetry and Remote Sensing and together with other chairs being part of the RTG. Requirements: good or very good university degree in computer science, mechatronics, robotics, electrical engineering, or a
-
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
-
letter Application Application https://www.cens.lmu.de/en/support/career-at-cens/ https://www.cens.de Contact LMU München Center for NanoScience Address StreetGeschwister-Scholl-Platz
-
at gsnas.fu-berlin.de Required Documents Required Documents Motivation letter CV Certificates Research expose References Language certificate Application Application https://www.jfki.fu-berlin.de/en
-
and mechanical studies of molecular motor proteins at the nanoscale Required Documents Required Documents CV Certificates Motivation letter Application Application https://www.cens.lmu.de/en/support
-
fundamental mechanisms of life? The International Max Planck Research School (IMPRS) “From Molecules to Organisms” invites motivated young scientists to join a world-class, fully funded PhD program that
-
reinforcement tasks to work with, enhance or replace established methods from computational engineering and computer simulation (such as the finite element method) to represent and exploit relationships along
-
of a Class B driver’s license are also required. Please find more information about the position, the contact person and the link for applying here: https://jobs.rptu.de/jobposting
-
available in the further tabs (e.g. “Application requirements”). Programme Description The Munich Aerospace e.V. Bavarian Research Network was initiated in 2010 to combine key expertise in the field