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Field
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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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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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performance computing systems in a way that is suitable for operational use. Implement and test different ML architectures, such as convolutional and encoders-decoder ANNs for predicting flooding in Bihar and
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automation of organic and inorganic self-assembling systems . The successful candidate will have a PhD in either inorganic or materials chemistry with some experience of Programming, computer science and
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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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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
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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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Reza Godini and Prof. Riikka Puurunen , will contribute to a high-impact collaborative research environment. This position is part of the Aalto Hydrogen Innovation Centre Doctoral School (https
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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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of academics, which comprises a very generous sabbatical policy and an infrastructure of high-profile research centres that brings together colleagues for collaborative projects. The school is housed in