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simulation with PSpice, LTspice, or equivalent is an advantage. Experience with developing software for instrument control and data acquisition using LabVIEW is helpful. Key Competencies Strong experimental
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access and system logs using anomaly detection. Sensitive Data Exposure, by helping identify memorised data in finetuning settings, misconfigured access control, or leaks in RAG settings. Supply chain by
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of publications in computational biology or related fields appropriate to career stage. Experience with pangenomic analysis tools and methodologies. Experience with version control systems (Git) and reproducible
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form part of the PHM. The research work will include the exploration of AI technologies and physics-based control techniques. To ensure impact and relevance, the work involves the measurement and
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form part of the PHM. The research work will include the exploration of AI technologies and physics-based control techniques. To ensure impact and relevance, the work involves the measurement and
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opportunity to work in at the intersection of statistics and epidemiology, and features an exciting case study involving novel GM and gene drive interventions for control of malaria-transmitting mosquitoes
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, upcycled ingredients); AI & automation in food manufacturing - smart sensors, digital twins, and AI-driven food quality control and processing; Food safety - supply chain tracking/monitoring, blockchain
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of sewer network and overflows to support effective management, and develop strategies to control pollutions at sources. The post will include delivering research outputs in the form of weekly reports
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quality control protocols. Beyond identifying a scientifically optimum observational network, you will contribute to shaping an observational strategy that is not only scientifically robust and resilient
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Assistant under the supervision of Prof. Antonio J. Gil, in order to meet the research objectives of an awarded Research Fellowship in the area of control modelling of EAP driven soft robotics. Specifically