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scientific exchange with collaboration partners of the project Preparing reports, scientific papers, and presentations Job Requirements: PhD in mathematics, physics, computer science, or a closely related
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conducting industry and enterprise research to support personalized career planning and skill development, assisting in entrepreneurship consultations and startup ecosystem analysis, and supporting
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dedicated to technology such as state-of-the-art light microscopy, nano- and micro- fabrication, and computing. We are seeking a highly motivated and capable individual to join the Collective Cell Dynamics
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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computational techniques. Engage with neural network generative models to explore new ways of enhancing system resilience across various domains. Stay abreast of the latest developments in resilience research
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degree (Bachelor’s or Master’s) in fashion, textiles, industrial design, fine arts, media arts, computer science, or another relevant discipline. Alternatively, equivalent industry experience in textiles
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) Programme is focused on understanding the structure and function of the nervous system, and the neural mechanisms underlying human neurological, psychiatric and eye disorders. The De Paola Lab at Duke-NUS
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. Qualifications/Requirements Qualifications / Discipline: - PhD from a reputable institution in Physics, Bio-imaging, Computer Science, or a scientific domain closely related to Machine Learning. - The candidate
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program is designed to foster scholars’ professional development by working closely with national and international experts in multi-disciplinary areas, such as nutrition, reproductive health, maternal and