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Forschungsgemeinschaft, German Research Foundation. The selected candidate would conduct research at the interface of theory and application. The project seeks to develop mathematical models for allocation of critical
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range of machine learning tasks, including classification, forecasting and clustering. Your responsibilities will be to help maintain and develop the toolkit, and to focus on helping develop aeon as a
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the significant antibody capabilities and expertise at Boehringer to develop new and more effective antibody reagents for cancer patients. The current opportunity is for a research fellow to join the team to help
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partners to broaden the scope of your research; Liaise with our industry partners to ensure commercial impact of your research; and Develop and participate in activities for engagement with the public
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Develop and participate in activities for engagement with the public, policymakers and key stakeholders. You will benefit from: Extensive opportunities for collaboration with our project partners. Access
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the Natural Environment Research Council to develop new technology for monitoring pollution in rivers and lakes. You will work as part of an interdisciplinary team (including engineers, environmental
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of Excellence for Cyber Security Research and Cyber Security Education which draw together expertise from across the University, including Computing, Electronics, Law, Management, Mathematics, Sociology and
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Comtrade API. Conduct in-depth statistical analysis to identify trends, patterns, and anomalies. Collaborate with team members to develop comprehensive reports and presentations. Assist in the preparation
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term basis for 36 months due to funding restrictions. As part of your role, you will: Develop novel Bayesian machine learning approaches for psychoacoustic modelling. Publish your findings at top-tier
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developing your career while maintaining a good work-life balance through family-friendly policies. The position will provide you with time and resources to explore and develop independent research. The post