It brings together researchers from across disciplines such as chemistry, physics, engineering, data science, and social sciences to develop sustainable materials, processes, and technologies that support a circular economy. This requires an advanced software infrastructure that ties together robotic systems, AI-driven decision-making, experiment orchestration, and scientific data management into a coherent, scalable platform. Within this infrastructure, the software backend ensures that all components communicate reliably, workflows execute reproducibly, and the system can scale with the institute's growing research needs. * Implement and maintain the core software platform for self-driving lab systems, including the service layer, internal APIs, and data flow between subsystems * Build and maintain the workflow orchestration backend that schedules, coordinates, and monitors automated ...
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