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Field
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focused on using spatial profiling and machine learning of human specimens in combination with functional experiments in animal models to understand cancer initiation, progression, and metastasis. We
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will have a strong research record in NLP, machine learning, or closely related areas, along with excellent communication and collaboration skills. We are especially interested in candidates with strong
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managing diabetes using computer simulation models. Learning Objectives: You will learn: How to synthesize and translate empirical evidence on cost-effectiveness of interventions for the prevention and
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experimental disease models to identify disease mechanisms, discover therapeutic targets, and improve disease prediction, prevention, and treatment. Our research focuses primarily on substance use disorders and
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analyzing hyperspectral data and developing machine learning models - Genetic or molecular lab experience - Bioinformatics, or statistical genetics experience - Excellent written and oral communication skills
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Artefact Design 2. Enhance Students' Interdisciplinary Learning through Large Language Model-Empowered Learning Analytics Project Introduction: We are looking for a Research Fellow with a strong foundation
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. Implement domain randomization and scenario variation pipelines for robust sim-to-real learning. v. AI Model Development Support development and evaluation of learning-based control policies using
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independent research, develop original ideas, and apply advanced quantitative or computational methods. Experience in statistical modeling, machine learning, experimental design, data analysis, or computational
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to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an exciting place to learn and
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, protein structure modelling, AlphaFold/multimer-based analyses, statistics, data visualization, and interdisciplinary work at the interface of proteomics, structures and machine learning. Track 2