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for cell transplantation therapies in animal models of Alzheimer's disease, stroke, and epilepsy. To achieve this goal, the candidate will combine a gene network-based approach with a machine learning model
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of Singapore (NUS). The selected candidate is expected to: • contribute to AI and software stack integration from architecture to vision task 1. Dataset, pre-trained model gathering, software sandbox and
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-computational models to advance our understanding of cyber campaigns on social media, grounded in the dynamics of social and communication processes such as group formation, activation, decentralized decision
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transformer-based models (e.g., BERT, GPT); Familiar with social network analysis (SNA) using NetworkX, igraph, and Gephi for complex network and graph-based data exploration; Experience with research grant
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logging into their existing Workday employee account. Position Summary: The Postdoctoral Fellow will conduct coupled physical-biogeochemical modeling to understand harmful algal blooms (HABs) in subtropical
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, or similar languages, and experience working with large or complex datasets Interest or experience in regulatory science, pharmaceutical or health policy, clinical evidence evaluation, or the analysis
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empirical perspectives. The NOMIS Fellowship Program supports groundbreaking research projects related to how images act as models or paradigms in scientific and aesthetic contexts. We are interested in
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learning models and are familiar with foundation models. Applicants are invited to contact Dr Ren Ge Gary at telephone number 3400 8595 or via email at [email protected] for further information
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to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute to Departmental/School research-related activities and research
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or more of the following areas: robotic mobility or manipulation, embodied intelligence, self-reconfigurable or compliant robotics, force or tactile sensing, intelligent control, multibody modeling