61 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "Dr" PhD scholarships at Technical University of Munich
Sort by
Refine Your Search
-
in cancers of unknown primary (CUP). Your Role You will join Subproject 3 (Model Alignment and Optimization), led by PD Dr. Keno Bressem (https://scholar.google.com/citations?user=wIEgwbkAAAAJ&hl=en
-
. Classical cryptographic techniques face inherent limitations, especially regarding future threats from quantum computers or AI-driven adversarial strategies. Physical layer security offers a promising
-
knowledge of the German language besides English. If interested, please send your full application to the email adress provided below. At the Mechanics & High Performance Computing Group, there is an open
-
Disorders (Institute for Experimental Neuroimmunology, PI: PD Dr. med. Ali Maisam Afzali) is recruiting a highly motivated PhD candidate to join our team. About us Our research focuses on the pathomechanisms
-
: Prof. Dr. Antonella Di Pizio (a.dipizio.leibniz-lsb@tum.de). More information on the working group can be found here: https://www.leibniz-lsb.de/forschung/forschungssektionen/sektion-iii. Please send
-
molecular level. To yield new insights into food-effector systems, sophisticated and tailored computational methods are needed. This project aims at leveraging graph-theoretic approaches to analyze and
-
tailored computational methods are needed. This project aims at combining probabilistic machine learning methods with prior knowledge in the form of graphs to analyze and predict food-effector systems. Key
-
Making (Prof. Dr. Clemens Thielen), located at the TUM Campus Straubing for Biotechnology and Sustainability (TUMCS) and affiliated with the Department of Mathematics. The PhD project investigates how
-
Technical University of Munich School of Computation, Information and Technology Chair of Theoretical Information Technology Theresienstrasse 90, 80333 Munich https://www.ce.cit.tum.de/en/lti/team/boche
-
in a close international collaboration between TUM, the newly founded Instituto Relva and other leading Brazilian institutions. The successful applicant will work under the supervision of Prof. Dr