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, and scenario analysis techniques to provide support for strategic decision-making and inform policy. The candidate will identify the existing data gaps in quantifying flood risk and explore best
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to the analysis of time series. In particular, the project will examine and develop methods that go beyond the Markovian paradigm. It will consider a range of time series data, focusing on those that show
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-value reinforcements in their short and randomly aligned form. A key challenge to the effective reintegration of recycled carbon and glass fibres into high-performance products lies in achieving scalable
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to work in an international team, work with forefront methodologies, and contribute to the investigation of persistent, mobile and toxic substances in drinking water, then DTU and Norwegian University
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synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application to the analysis of time series. In particular, the project
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Job Id: 11082 Limited to 3 years | Part-time with 65% | Salary according to TV-L E13 | Department of Medicine A - Hematology, Oncology and Pneumology We are UKM. We have a clear social mission and
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hardware is developed in cooperation with Heidelberg university. Data analysis, writing and publishing research articles, and presenting at topical conferences/workshops are an integral part of this project
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performance and university-specific criteria. Integrating multimodal analysis (voice tone, facial expressions, sentiment analysis) for holistic assessment. Ensuring fairness and bias mitigation in AI-driven
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stubble management. This PhD forms part of a collaborative project between Adelaide University, Murdoch University and the University of Queensland, funded by the Grains Research and Development Corporation
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Background and Research Environment Recently established, the Cancer RNAs & Epigenetic Group (CREG) focuses on understanding the role of epigenetic and epitranscriptomic regulation in tumor