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) super-resolution fluorescence microscopy, (2) single-cell transcriptome and genome imaging, and (3) single-molecule biology. 🔗 Learn more about the Zhuang Lab About the Role The Zhuang Lab at Harvard
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Better at Work. Better at Life. When you work at St. Jude, you'll join a highly collaborative work culture that inspires you every day to be your best. With opportunities for learning and growth
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applications. Our overarching aim is to obtain a holistic view of interconnected biological systems in health and disease. We develop clearing technologies for cellular-level imaging and deep learning algorithms
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Curriculum and other under and post graduate degree programmes that involve the Faculty of Medicine. Further, they will be expected to teach in areas outside their specialisation. The successful candidate will
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materials and devices, calorics, heat transport, and thermal management. Experience with applied computational techniques and machine learning methods is a plus. Some postdoctoral research experience is
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the broad landscape of computational science, including artificial intelligence, machine learning, deep learning, and their applications in addressing complex scientific and societal challenges, encompassing
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Assistant/Associate Professor at the interface of chemistry, biology & medicine(computational focus)
the behavior of biological systems at the molecular or cellular scale; building and deploying computational or machine learning strategies in drug design or development; and other research programs that align
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are in engineering sciences, mathematics, computer sciences, natural sciences and medicine. Our economics, social sciences and humanities are indispensable and crucial disciplines in a modern university
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automation software for high-throughput quantum-hardware preselection and characterisation using image recognition and machine learning tools. As R&D institution we are highly interested to disseminate
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multi-parameter ion-beam tuning procedures (collaboration with Univ. of Vienna and HZDR) and developments of machine learning (ML)-algorithms for optimization of beam parameters and control of relevant