Sort by
Refine Your Search
-
together physicists, earth and planetary scientists, chemists and biologists to understand the conditions and the mechanisms that enable life to emerge. Developing reliable methods to detect reliable traces
-
on ongoing projects. We welcome young scholars in entrepreneurship, strategy, and technology and innovation management, using quantitative, qualitative or experimental methods. The Chair's research appears in
-
researcher to develop time-resolved imaging methods and apply them to semiconductor reliability problems. This is one of two postdoctoral positions opening in the group. This position focuses on time-resolved
-
researcher to develop time-resolved imaging methods and apply them to semiconductor reliability problems. This is one of two postdoctoral positions opening in the group. This position focuses on time-resolved
-
milestones and timelines Maintain accurate and detailed documentation of experimental methods and outcomes in lab books and written reports Communicate research updates and outcomes effectively through verbal
-
political implications of vertical urban development. The project has three main ambitions: (1) developing methods to measure verticality and its impacts in data-scarce contexts, in Africa and elsewhere; (2
-
Interaction to redefine how machines interpret human actions, anticipate intentions, and interact seamlessly with people in various settings. The successful candidate will be developing new methods for remote
-
civil engineering. It is known for its development of tools, design methods, large-scale analyses and built prototypes aimed at enabling the Architecture, Engineering and Construction (AEC) sector
-
to redefine how machines interpret human actions, anticipate intentions, and interact seamlessly with people in various settings. The successful candidate will be developing new methods for Real-time Video
-
, normalizing flows, VAEs, generative transformers, or related methods. Strong programming skills and experience with modern deep learning frameworks. Experience with large-scale model training, distributed