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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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the day-to-day coordination of the project, conducting data collection with children, and contributing to the development of machine learning and deep learning models for early prediction. The research
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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
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data. The work will incorporate comparative evolutionary biology using extant plants populations and Herbaria collections. The opening is for a postdoctoral fellow with expertise in one or more of the
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health data. In combination, this permits a more process-based understanding of malaria risk enabling targeting of interventions based on specific eco-hydrological settings. Main Duties and
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the level of individual cells. Yet much of the biological information embedded in these data remains unexplored. The next step is to convert these time-lapse images into accurate single-cell trajectories and
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are offered to graduate students, predoctoral students, and postdoctoral and senior investigators to conduct independent research. For information about eligibility and selection criteria and application open
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SPMS conducts cutting-edge research in quantum science and technology, with strengths in quantum information theory, quantum communication, and quantum resource theories. We aim to advance both
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the mechanisms contributing to sporadic ALS progression, helping to pave the way for novel therapeutic strategies. They will collaborate closely with data scientists and experimental colleagues to ensure thorough
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