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cluster provides shared access to state-of-the-art instrumentation across multiple imaging platforms and techniques, technical expertise, and assistance in optimal image collection and analysis
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early intervention alerts in aquatic environments. Integrate open-source and commercial aquatech tools (e.g., air and underwater imaging, biosensor platforms) to build proof-of-concept detection pipelines
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neuroimaging experiments, proficient in image processing and programming paradigms. The successful candidate will contribute to ongoing multidisciplinary research and play an active role in developing novel
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an emphasis on technology, data science and the humanities. We are seeking a motivated student assistant to support our research team in processing large-scale microscopic blood-cell image datasets. Your
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responsibilities. Ability to maintain a big-picture perspective while focusing on details. Service-oriented team player with strong leadership and interpersonal skills. Proactive, decisive, and capable for managing
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conditions. To propose a methodology/framework in a software prototype to be developed in the project. To report research findings in the form of a report and present in international peer-reviewed conferences
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of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. We are seeking an experienced and dynamic events manager to strengthen the College’s positioning and public image
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programming languages such as C and Python Proficiency in deep learning frameworks such as Pytorch and Tensorflow Knowledge in imaging and computing device and equipment Good written and oral
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(EM) to join our multidisciplinary team. The successful candidate will lead EM-based investigations and contribute to the development of advanced imaging protocols. This position offers access
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facilities dedicated to microfluidics, high-resolution imaging, and cell culture that will support the fellow in training, setup, and execution of the project, and the successful candidate will have the