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systems. In parallel, they will design and develop agentic AI and physics-aware AI models to accelerate discovery and deepen mechanistic insight in catalysis. This work will be carried out in close
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to excellence, curiosity and innovation. We are transforming lives and creating economic opportunity through education. We champion a people-first values-based culture where We Care about each other and those we
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sustainable packaging materials from renewable resources. Within this project, the successful candidate will contribute to the design, synthesis, and characterization of innovative bio-based polymers and
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of Informatics at King’s College London. The position is full time and available till 30th April 2028 with immediate start. About the role The PDRA will be working on a project on resilient pattern mining, which
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processing. The duties of this position will be to design and develop an integrated, cross-domain image-processing pipeline based on a common AI workflow in collaboration with researchers in experimental
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, machine learning engineers, and clinical collaborators to design, implement, and validate innovative algorithms. Conducts exploratory data analysis to extract meaningful insights from complex datasets
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experience is welcome but is not required. Duties and Responsibilities Design and conduct independent and collaborative studies of phiBB-1/cp32 biology, phage replication, lysis-lysogeny regulation
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chemical and materials synthesis environments, including the implementation of smart synthesis workflows using robotic hands and manipulators. The role will involve contributions to the design, integration
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, validation, and clinical translation of digital technologies for surgical monitoring, navigation, and precision healthcare. The successful candidate will play a leading role in designing, developing, and
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model systems to study the evolutions and mechanisms of arthropod symbiosis. Candidates must have experience in one or more of the following areas, including but not limited to cloning, construct design