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Computational Social Science, with a starting date of September 1, 2026. Some of the possible research topics include: (i) social media analysis, (ii) collaboration and teamwork, (iii) gender inequality, (iv
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large language models
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. Activities - Literature review and data compiling - Planification and realization of biochemical experiments (assembly of biochemical reaction networks) - Data analysis and regular (weekly) reporting
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Research Lab is seeking a Postdoctoral Research Fellow with strong quantitative data analysis skills to join our interdisciplinary team of investigators. The fellowship goals include advancing our research
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, machine learning engineers, and clinical collaborators to design, implement, and validate innovative algorithms. Conducts exploratory data analysis to extract meaningful insights from complex datasets
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cells, including, but not limited to, electrical, optical, and morphological characterisation. Strong background and technical expertise in stability testing and failure analysis of perovskite single
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and/or case-crossover analyses, and have a promising publication record. Expertise in one or more of the following areas: statistical analysis of large data sets, machine learning, data visualization
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affiliated researchers. This includes maintaining appropriate data collection and analysis documentation, providing written reports on research progress, and participating in research group meetings when asked
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to enhance chickens' ability to digest high-fibre, low-cost feeds. You will lead the bioinformatic analysis and integration of cutting-edge multi-omic datasets to unpick the complex microbial mechanisms
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, contributing to the analysis and interpretation of findings and ensuring the work remains informed by victim-survivor experiences and safeguarding considerations. Working closely with partner organisations