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these methods to address challenges in scientific discovery and precision medicine. We seek highly motivated applicants with a background in one or more of the following areas: agentic AI, geometric deep learning
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: Fixed Term Contract up to July 2028 Background This multidisciplinary project is based on a multi-method design, focusing on the experiences of children, adolescents and their immediate caregivers who
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with both academic and industrial partners, and the doctoral candidate must participate in these activities. Methods will include synthetic medicinal chemistry, chromatography, spectroscopic and
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.), data-driven modelling and control methods (e.g., reinforcement learning, transfer learning, etc.) Proficiency in programming tools and languages, e.g., MatLab, Python, Modelica, C, ForTran, etc. We
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Education. Proficiency with mixed-method research approaches, including both quantitative and qualitative methodologies. Responsibilities: Coordinate the research team in data collection, analysis, and the
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experimental plans. Ability to design and implement new experimental methods. Oversee and report project progress. We regret that only shortlisted candidates will be notified. Hiring Institution: NTU
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strategic interaction. The project will use EEG and hyperscanning methods alongside behavioural and naturalistic measures of social interaction. The Research Fellow will support the development and piloting
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these methods together into a unified approach. About the Person The successful candidate must have, and your application should clearly demonstrate that you meet the following essential criteria: Degree
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computational analysis of functional genomics datasets with an emphasis on single-cell omics. This person will develop new computational methods to analyze novel RNAseq, ATACseq, and Spatial Transcriptomics
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to developing new models, techniques and methods Undertake management/administration arising from research Contribute to Departmental/School research-related activities and research-related administration