Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
Power-to-X systems. You will drive the development of system-level digital-twin and optimization methodologies, integrating electrolyzer models with renewable generation, power conversion, energy and
-
, collaboration and professional development. The Faculty of Medicine is committed to preparing PhD graduates for diverse career paths. Throughout your PhD, you will develop advanced research competencies alongside
-
the development of system-level digital-twin and optimization methodologies—integrating electrolyzer models with renewable generation, power electronic conversion, energy and hydrogen storage, downstream processes
-
or TensorFlow, and be motivated to combine theoretical work with algorithm development and experimental validation. We value curiosity, independence, and the ability to collaborate across disciplines in
-
with interactive system development and empirical evaluation in real world settings. You will have the opportunity to shape the project based on your interests and in collaboration with a leading
-
your research profile and provide general career development support. As part of the application, you must submit a project description (maximum five pages, 12,000 characters including spaces and
-
and Collaboration; Natural Language Processing; Probabilistic and Symbolic AI; Physical and Embodied Interaction; Quantum Systems Analysis and Synthesis; Systems Design & Development Practices; Web
-
strong, open, and collaborative working environment is essential for the development of innovative and internationally competitive research. You will have the opportunity to engage in skills and
-
for professional and academic development. As part of the three-year PhD program, you will conduct independent research under supervision and complete PhD courses corresponding to approximately 30 ECTS. Courses may