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Field
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to the development of advanced statistical frameworks and computational tools for analyzing high-dimensional biological and environmental data. The position will specifically focus on: • Development of multivariate
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an emphasis on technology, data science and the humanities. Primary Care and Family Medicine is a Programme within Population & Global Health. The key objective is to support efforts to advance high-quality
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. Studying this phenomenon requires the use of both experimental and numerical tools to develop design techniques for safer components. Damage tolerance is crucial for high-performance components, making
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neuroimaging software, scripting languages and high-performance computing. Experience working with large datasets such as ABCD, together with an interest in non-suicidal self-injury, suicide research or emotion
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to the research project in a timely and effective manner. Perform small-team research, coordinate research activities, and participate in the setting of future research directions of the project. Assist with
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analysis High-performance computing Experience in human population genetics, evolutionary genetics, or related quantitative analyses is considered a plus but is not required. Department Contact for Questions
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The National University of Singapore invites applications for the position of Research Fellow for the project titled “Integrative Adolescence Research Programme 2.0: Pillar 1 and Pillar 2” within
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while contributing to high-impact publications and future clinical translation. Key Responsibilities Design, plan, and execute independent research projects aligned with the laboratory's scientific
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suitability for the programme and its objectives. Funding is awarded only following a positive evaluation by the appointed experts. The selection criteria are: Academic qualification Academic performance
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one of the following fields: process-based model development, Earth system model simulation and analyses, data assimilation, large-scale data collection and synthesis, high performance computing, and