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Field
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. Demonstrated experience in leading technical components of research or engineering projects and supervising junior staff. Experience in experimental programme design, laboratory and/or field testing, and data
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optical imaging (Leung Research Group) The Leung Research Group (https://sites.google.com/view/LeungGroup) in the Department of Intelligent Systems Engineering at the Luddy School of Informatics, Computing
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. Job Requirements: Competence in working with languages such as C along with Python-based coding and AI development. Have a degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD
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diagnostics and therapeutic stratification in lung cancer. In collaborating with cross-functional teams, including bioinformatician, computer scientists, AI engineers, biologists, and clinicians, you will
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Periodically-Poled Lithium Niobate (PPLN) and Thin Film Lithium Niobate (TFLN) waveguides for single- and paired-photon generation at application-driven wavelengths for quantum-enhanced imaging, computing, and
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 3 months ago
to harness organ-on-a-chip technology to study metastatic dissemination in gastric cancer. We propose a xurography-based technology to fabricate a prototype of a multi-organ-on-a-chip microfluidics platform
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the assembly, management, and analysis of complex datasets, including the application of machine learning techniques to develop a range of models such as predictive and image-recognition models. A key aspect of
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public health. The postholder will work with Asst. Prof. Swapnil Mishra (Deputy Director, CERM and AI for Public Health Programme) and engage an active network of collaborators spanning CERM, NUS, Imperial
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, working closely with other project participants on field measurements, laboratory work and model development. The candidate will be expected to: Contribute to development and deployment of particle imaging
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in leading journals including NEJM AI, JAMA, and Circulation - the program fuses artificial intelligence, advanced cardiac imaging, multiomics (proteomics, metabolomics, and genomics), and