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Field
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studies for project-based research topics. Contribute to the development of algorithms and models to enhance the reasoning abilities of large language models in the healthcare domain. Job Requirements
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revealing mechanisms and therapeutic targets of early pre-malignant development of ovarian carcinoma, novel big data approaches, and development of early detection/screening tests/algorithms of ovarian cancer
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further extensions subject to good performance and availability of research funding. Key Responsibilities: Performing literature review and background study on AI Develop algorithms and system designs
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The Centre and Role The Leverhulme Centre for Algorithmic Life is dedicated to the interdisciplinary study of technology and society. The Centre's research pursues one of the most urgent questions
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on the aptitude of the candidate(s), the project could be oriented on the instrumentation and the development of signal processing algorithms, time series data processing and modeling, statistical analysis and
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particular: Design algorithm for localization using ultrawide band (UWB) sensors. Conduct experiment, collect data, and analyze results. Simulate and evaluate system performance. Document research outcome to
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algorithms for real time neural signal processing. Proficient in a range of machine learning techniques, including neural networks, with particular experience in real-time debugging of algorithms during live
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discipline. At least 3 first author papers in disciplines related to neuroprosthetics. Published first author work in using machine learning algorithms for real time neural signal processing. Proficient in a
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The Centre and Role The Leverhulme Centre for Algorithmic Life is dedicated to the interdisciplinary study of technology and society. The Centre’s research pursues one of the most urgent questions
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-world systems. While most of the work will be computational or mathematical, you will also have the opportunity to visit BASF in Ludwigshafen, Germany for three months to try out the new algorithms in