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of Dentistry, Oral & Craniofacial Sciences at King's College London. Our methodological work spans trustworthy AI, multimodal machine learning and statistical signal processing. Our translational work applies
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shaping microbial evolutionary trajectories. You will work on this novel project and use state-of-the-art mathematical/computational modelling and machine learning techniques in a collaborative working
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learning architectures. Responsibilities encompass conducting independent systems-level research, developing robust software prototypes, executing rigorous performance evaluations, and disseminating findings
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travel to partner countries as part of the research programme. We are seeking an enthusiastic and experienced researcher with expertise in genomics and bioinformatics, AI and machine learning. The post
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machine learning, deep learning, audio/image/video classification, attention mechanisms, zero/few shot learning, and evolutionary algorithms. The Research Associate should have proficient programming skills
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-omics machine learning and AI model using liquid biopsy next generation sequencing data for early cancer detection. About You Must have a strong background in the field of cell-free DNA. Including
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computationally intensive field, for example computational social science, computational psychology, or certain areas of digital humanities. 2. Specialist knowledge in NLP or a closely related area of machine
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. The McTernan Group aims to apply recent breakthroughs in artificial molecular machines, high-affinity host-guest chemistry, and metal-organic capsules, in biologically relevant settings. We work with rotaxanes