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working within the team under the Principal Investigator Assistant Professor Borame Dickens alongside multiple collaborators and experts. Methods include agent based/individual based modelling, SEIR
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backup operations on multiple File Systems. Enthusiasm for problem-solving and able to work in a fast-paced environment. Strong interpersonal skills with the ability to communicate effectively. Able
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events, and mobile genetic elements within the Lyme disease system. Lead multiple concurrent research efforts requiring the integration of genomics, wet-lab experimentation, and animal-model data. Genomics
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monitoring. Collect, clean, and analyze data from multiple systems (e.g., enrolment, finance, programme management) to generate actionable insights. Present analytical findings in a clear and visually
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clean, performant, reusable code managed on GitHub to perform repeatable analyses and to train and deploy models to multiple environments. Primary Duties and Responsibilities Assists with the development
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Engineers, working with a wide range of stakeholders across multiple disciplines and institutions. What you will do You'll be working on a diverse range of AI and HPC platforms and infrastructure projects
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Project advert Modern artificial intelligence (AI) increasingly relies on combining multiple sources of information, such as sound, motion, images, and sensor data, to achieve robust and intelligent
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on. Essential Attributes/Qualities Highly proficient in Python Able to produce fast, reliable and repeatable tests that enable CI/CD Hands-on experience in writing, maintaining and executing test automation using
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. • Developing AI/ML-based causal inference models for real-world evidence applications (e.g., target trial emulations- TTE) • Developing data integration methods to combine multiple massive datasets
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to continue learning, with the ability to manage multiple projects simultaneously. The position offers opportunities for skill development and to take on leadership roles in individual research projects