Sort by
Refine Your Search
-
, Robotics, Computer Science, Statistics, or related discipline. Strong background in Machine Learning and Control Theory. Demonstrated experience in research projects with industrial partners. Excellent
-
candidate will work primarily with pixel detectors construction, and electrical test-systems, and to some extent with test beams, data analysis and development of mechanical systems. She or he will be
-
, highly motivated researchers that both enjoy working in a team but capable of working independently. They should be keen to utilize eclectic theories and methods, develop new theoretical perspectives while
-
. Our research is structured around two main pillars: Network resilience and sovereignty, i.e., research on networking architectures and mechanisms that keep critical networks and applications
-
construction of optical diffraction tomography or quantitative phase microscopy systems. Experience in the development of fluorescence-based super-resolution microscopy methods such as structured illumination