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of Informatics in the Faculty of Natural, Mathematical & Engineering Sciences at King’s College London. The successful applicant will lead the integration of embedded control systems and multimodal intent
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from biobank studies (e.g., UK Biobank, China Kadoorie Biobank) and a familiarity with command-line environments, high-performance computing (HPC) environments and pipeline execution on compute clusters
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that is developing novel robotic solutions for practical, real-world settings. Current approaches to many perception and autonomy challenges use simplifying assumptions and controlled environments. Our team
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Role Description Department We are seeking an experienced mathematical modeller. Our group is developing a range of advanced genetics-based methods for controlling mosquito-borne diseases, based
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, strong coding and analysis skills including using multivariate pattern analysis, and knowledge of the field of flexible cognition, top-down control, selective attention, and frontoparietal cortex. The post
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particular emphasis on kinetic Monte Carlo approaches, and in software development, including version control (Git or similar). Experience in ab initio methods and specifically calculations of excited
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strong potential o Proficiency in Python and/or R programming languages o Experience working in high-performance computing (HPC) environments o Command line proficiency and BASH scripting
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Assistant (PDRA). The Opportunity: The aim of the project is to characterize genes that control the programmed cell death and cell separation that occurs during the breakdown of the maternal tissues
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internal structure, combined with the existence of controllable long-range dipole-dipole interactions, long trap lifetimes and strong coupling to electric and microwave fields. The postholders will be
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to develop novel method for Advanced WF interface control for enhanced synchronisation stability under varying grid and WF output situation. The positions involve undertaking full time research in grid