Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
, and socially just energy supply system based on renewable energies. We contribute to this with our research focuses on energy provision, energy distribution, energy storage, and energy utilization
-
DevOps Engineer (f/m/d) - Cloud Infrastructure and Data Services / Completed university studies (...
Area of research: IT - Computing Starting date: 01.08.2025 Job description: DevOps Engineer (f/m/d) - Cloud Infrastructure and Data Services With cutting-edge research in the fields of ENERGY
-
sciences Additionally desirable Expertise in marine sciences Experience in the tropics Experience with technology, i.e. hardware development Experience with HT condor distributed computing We are looking
-
socially equitable energy supply system based on renewable energies. We contribute to this through our research focuses on energy provision, energy distribution, energy storage, and energy utilization. With
-
in different healthcare domains in our “AI Safety Test Bench” Coordination with our project partners the position is limited to 3 years Your Profile PhD degree in computer science or a related field
-
for predicting distributed responses and tipping points in dynamical systems employing computer algebra and advanced numerical techniques; supporting Chair in all matters, including the support of grant
-
cooperative access points in distributed MIMO systems Cell-free design for distributed MIMO systems Integrated sensing and communication (ISAC) The scientific work offers the possibility of a doctorate. What
-
of complex systems and networks with a focus on strongly externally driven systems; application to fields in physics, engineering and biology, developing a computational toolbox for predicting distributed
-
/d) in Energy Informatics. You are passionate about applying cutting-edge information technology to solve the energy and climate crisis and would like to work in a vibrant and international research
-
optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! What