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years. The nominal length of the PhD programme is three years. The fourth year is distributed as 25 % each year and will consist of teaching and other duties. The objective of the position is to complete
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work with the Cambridge-GSK Translational Immunology Collaboration (https://www.med.cam.ac.uk/cg-tic ). This is a new interdisciplinary partnership between the University of Cambridge and GSK, bringing
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communication resources to train the federated machine learning model efficiently. She/he will investigate realistic scenarios including non-iidness of data distribution, system heterogeneity, and dynamic
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. It is a prerequisite that you complete the project during the employment period. Qualification requirements You must have a PhD with a specialisation relevant for the project. The PhD thesis must have
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Apply Now How to Apply A cover letter is required for consideration for this position and should be attached as the first page of your resume. The cover letter should address your specific interest
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a track record in computational modelling that explores the dynamics of AI systems and the development of autonomous AI agents, experience with machine learning, reinforcement learning, and generative
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for three years with research duties exclusively, or four years with both research and other career-promoting work. This will be clarified in the recruitment process. Research topics One PhD fellowship
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or spatial transcriptomic data analysis Candidates who are nearing completion of their PhD may apply, but confirmation on awarded PhD is required within 6 months of employment. The ICR has a workforce
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) at the National University of Singapore is a multidisciplinary institute dedicated to developing new paradigms in biomedical research. We focus on the quantitative analysis of dynamic functional processes in
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a collaborative team, and who is adaptable, well-organised, and motivated by scientific inquiry. This is an excellent opportunity to join a dynamic research environment and contribute to impactful