310 assistant-professor-computer-science-data-"Multiple" positions at DAAD in Germany
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
available in the further tabs (e.g. “Application requirements”). Objective The programme aims at fostering strong, internationally oriented higher education systems in South Asia with the capacity
-
applications in information technology and are based on electrical, magnetic or optical functionalities. The Department of Magnetism is looking for a Scientific Assistant (f/m/d) to pursue research in nanoscale
-
Requirements: excellent university degree (master or comparable) in computer engineering or electrical engineering a strong background in digital design, hardware description languages (e.g. Verilog, VHDL
-
and Data Science (MIDS) at the KU Eichstätt-Ingolstadt. The research group works at the intersection of analysis, modeling and simulation. The advertised position is partly funded by the German Research
-
conferences Requirements: a university degree in the field of computer science, data science, computational modeling or related subjects in combination with civil engineering, transport engineering a strong
-
-friendly company policy with childcare facilities, e. g. nursery close to the company free assistance program for employees (EAP) corporate benefits a varied offer in the canteen on campus Severely disabled
-
a vibrant scientific community. Join us in developing solutions for a rapidly changing world and help shape the future by working in an international environment. For more information about the
-
available in the further tabs (e.g. “Application requirements”). Programme Description The International Scholarship Programme (ISP) of the Avicenna Studienwerk, in cooperation with the Islamkolleg
-
extensive professional networking opportunities A structured PhD program with a comprehensive range of continuing education and networking opportunities - more information about the PhD program at the HZDR
-
on methods development in machine learning, uncertainty quantification and high performance computing with context of applications from the natural sciences, engineering and beyond. It is embedded in