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39 Faculty of Computer Science Startdate: 07.09.2025 | Working hours: 20 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 07.07.2026 Reference no.: 4408 The position
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work on the INSTINCT-MB programme, which brings together teams based at Newcastle University, The Institute of Cancer Research and University College London. The programme will generate a wide range of
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the back of King’s College London’s COVID-19 testing programme, and we gained UKAS accreditation (ISO 15189) for our unique COVID-19 testing assay. Our expertise in this area and quality management systems
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AMPs demonstrating high efficacy against several pathogenic microorganisms, a gap remains in demonstrating their potency against wound pathogens, especially antibiotic-resistant strains. This project
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integration and statistical modelling Teaching and mentorship experience Excellent interpersonal and communication skills across wet-lab, computational and facility teams Familiarity with high performance
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supporting high performing academics to achieve their potential and develop their career A multitude of staff benefits including sector leading benefits around maternity, adoption and shared parental leave
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and skills of the successful applicant. Access to high-performance computing facilities and cloud-based quantum hardware will be provided to support simulation and verification of theoretical methods
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on performance and safety, for example, through the efficient computation of Lyapunov and barrier functions, forward and backward reachable sets, optimal value functions etc. The broad goal is to build upon recent
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safety in high stakes clinical environments. Our approach uses sensor technology, machine learning, simulation studies and advanced video analytics to enhance team performance under pressure in high-risk
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computational workflows on a high-performance cluster. You will test hypotheses using data from multiple sources, refining your approach as needed. The role also involves close collaboration with colleagues