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Field
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methods for multi-omic and single-cell data Integrate diverse molecular data to study tumor evolution and therapeutic response Collaborate with MD Anderson clinicians and basic scientists Investigate
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twelve months] Duties The appointees will assist the project leader in the research project - “Towards multimodal seamless human-robot collaboration: few-shot perception and spatial skill learning with
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computing, manifold learning, geometric data analysis, or phylogenetic models of trait evolution Ability to collaborate and contribute to an interdisciplinary research environment. Scientific originality
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, alignment, evaluation). Design multi-MLLM collaboration methods (knowledge transfer/distillation, federated learning). Build efficient training/benchmark pipelines and report results with clear metrics. Apply
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architectures and design methodologies, and disseminating research outcomes through publications, collaborations, and open-source contributions. Key Responsibilities: Conduct independent and collaborative
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position within a Research Infrastructure? No Offer Description As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity
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to a deeply decarbonized and reliable energy system. The Postdoctoral Fellow will work closely with the project directors and collaborators to develop data-driven and economically grounded frameworks
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, and system-level tool execution. Publish original research findings in top-tier AI and Security conferences. Collaborate with interdisciplinary teams to translate theoretical security frameworks
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methodologies to analyse multimodal data, enabling early detection and personalised interventions in clinical neuroscience. The candidate will take the lead on machine learning and computational analyses
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). The ideal candidate brings a strong machine learning foundation, curiosity about sound and music computing, and enthusiasm for collaborating with PhD students and postdocs. You will help combine individual