Sort by
Refine Your Search
-
, energy systems, or material sciences A Masters degree with a strong academic background in mathematics, computer science, physics, material science, earth science, life science, engineering, or a related
-
, computer science or mathematics (or a related field), with a focus on computer vision, image processing, or machine learning Solid mathematical and physics background, distinct analytical skills Very good
-
computer vision for the life sciences Your Profile: Excellent Master’s degree in engineering, computer science, or mathematics (or a related field), with a focus on robot vision and control, image processing
-
candidate will be considered for integration into the Graduate School “Engineering Covalent Bonds in Molecules and Materials” Ec=m2 (RTG 3082; https://www.uni-saarland.de/forschen/ecm2.html ). For further
-
Duration 2 years Scholarship Value financial and non-material support Up-to-date information is available on the programme website . Application Papers Application forms and further information
-
euros child allowance per child; about 275 euros marriage allowance) Additionally, the host graduate school can receive an annual material resource and supervision allowance (1000 euros). Selection GSSP