84 communication-engineering-"https:"-"https:"-"https:"-"https:"-"https:" positions at Technical University of Munich
Sort by
Refine Your Search
-
.: Mechanical Engineer Phil Chudalla, M.Sc.: Electric System Architecture Jens Grimm, M.Sc.: Autonomous Software Stack You: Business and Marketing Previous startups from the same professorship: The position is
-
10.04.2026, Academic staff Being one of the best faculties in Economics in Germany, the TUM School of Management is building a unique bridge between Management and Technology within an international
-
hydrogen storage to maximize energy efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical research
-
production concepts shall be investigated. You should hold a MSc. or Dipl. degree in aerospace or mechanical engineering well above average and you should have experience in designing, building and testing
-
learning Solid knowledge of scientific software engineering Expertise in analyzing omics data and/or imaging data Experience in conducting, ideally managing, interdisciplinary projects and communication Your
-
learning Solid knowledge of scientific software engineering Expertise in analyzing omics data and/or imaging data Experience in conducting, ideally managing, interdisciplinary projects and communication Your
-
. • Master's degree with excellent grades in computer science, mathematics, physics, engineering, medical informatics, biomedical engineering, or a related field • Very strong undergraduate and graduate record
-
an opportunity to rethink the entire engineering design process. By integrating cutting-edge health research, emerging technologies, circular economy principles, and sustainable materials science, we can create
-
discipline (e.g. Environmental Engineering). Experience in economic and interdisciplinary modelling, sectoral and integrated assessment, or policy-oriented simulation of climate, natural resource, and agri
-
for gynecological precision oncology. Building on longitudinal clinical data, established molecular tumorboards and interoperable data models, we combine Large Language Models (LLMs), Retrieval-Augmented Generation