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analytical backbone of the programme. It develops sensor-enabled diagnostic cells, multi-modal data pipelines and hybrid physics-informed machine learning approaches to understand interfacial behaviour during
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, drawing on high-resolution proteomics alongside complementary omics, clinical data, and dietary and lifestyle information. The overarching goal is to enable improved disease stratification, identify
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security goal in Africa, with a special focus on developing methods/tools that use multi-source remotely sensed data. The research aims to improve our understanding of the integrated functioning
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, hepatologists, and data scientists. The candidate should demonstrate technical experimental excellence as well as the capacity to lead the research team regarding research projects aimed at producing clinically
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study at Harvard University. For information about eligibility and selection criteria and application open and closing dates, see: The Frank Knox Memorial Fellowships. The information listed here is
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Postdoctoral Fellow with Professor Morgane Austern. Professor Austern’s group focuses on research in high-dimensional statistics, probability theory, machine learning theory, graph data, Stein method, ergodic
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to advance intellectual exchange. For information about eligibility and selection criteria and application open and closing dates, see: Application | Society of Fellows in the Liberal Arts (princeton.edu
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, drawing on high-resolution proteomics alongside complementary omics, clinical data, and dietary and lifestyle information. The overarching goal is to enable improved disease stratification, identify
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Lab at Harvard University to study the structure and function of lipid droplets in the brain in both health and disease. For more information about our publications and research interests, please visit
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Yih-Cherng Liou (NUS), along with Dr. Caroline Wee (IMCB, A*STAR) are looking for a bioinformatician or data scientist to contribute towards a multi-omics integration effort of transcriptomics