-
are also expected to contribute to the characterization of the thermoelectric generators after field testing and to implement the results of accelerated fatigue tests in heat transfer models to predict
-
for materials discovery. Project description Machine learning opens up new opportunities to accelerate the discovery of next-generation energy materials by combining predictive and generative approaches. In
-
appropriately structured for AI training. Responsibilities You will be part of the LightTrap project, funded by the Novo Nordisk Foundation, which aims to use AI to accelerate the discovery of new optical
-
hardware accelerators, or quantum information science. Responsibilities and Qualifications Your primary responsibilities will be centered around the fabrication and characterization of TFLN/TFLT PICs
-
development of an open R&D playbook—freely accessible to researchers worldwide—to accelerate the discovery, maturation, and deployment of scientifically validated microbial biofertilizers. DTU is coordinating