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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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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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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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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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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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, offering increasing research independence and meaningful international collaboration. Main Duties and Responsibilities Perform the following activities in close collaboration with the Principal Investigator
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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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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
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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