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and machine learning algorithms to analyse and interpret the acquired data. The successful candidate will work primarily with Dr Qimei Zhang in the Department of Engineering at the Nottingham Trent
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ideas from machine learning, econometric choice modelling and mathematical psychology. You will investigate how large language models, optimisation algorithms and automated model search methods can
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mathematical or computational algorithms. Strong scientific programming skills. Evidence of the ability to conduct research independently and to identify and address challenging research questions. Evidence of
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framework that translates evolutionary insights into synthetic biology and redefines the limits of metabolism. Find out more about Osipova lab here About the role We are looking for a highly motivated postdoc
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. The Role Faculty of Environment, Science and Economy The successful applicant will contribute to the project NATALIE by developing AI algorithms that integrate data from various sources to better understand
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developmental biologists, geneticists and evolutionary scientists across the Faculty of Science. The team offers strong technical support, access to advanced imaging and genomics platforms, and mentoring
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high-frequency ultrasound imaging platform, including hardware-software integration and advanced signal processing algorithms for structural and functional imaging, in order to deliver clinically
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learning algorithms. Collaborating with industry partners to understand operational requirements and developing AI pipelines for analysing visual and sensor data collected during inspection processes
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-quality and high-impact research and for creating research networks supporting their careers. We welcome applications across all areas in Computer Science, including Algorithms and theory Artificial
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research areas in CDB include animal development, stem cell biology, functional and evolutionary morphology, neuroscience, organelle biology and cell signalling. The Department is home to several centres