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degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous. Knowledge of machine learning, pytorch, huggingface etc... Knowledge of image
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current methods cannot yet reveal how passive electrical properties vary within a single cell. In this role, you will conduct impedance imaging experiments on neurons using our in-house impedance microscopy
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for medical imaging, precision medicine, statistical genomics, graphical models, and the analysis and integration of complex, high-dimensional biomedical data. The fellow will be expected to develop novel
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. Work collaboratively with multidisciplinary teams across materials, mechanical, and electrical engineering. Conduct laboratory experiments and support prototype development, contributing to system-level
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the Apply button at the top of the page. For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find
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with healthcare data (e.g., EHR, clinical text, imaging, omics). Proficiency in Python and ML tooling (e.g., PyTorch, scikit-learn), version control (Git), and experiment tracking (e.g., Weights & Biases
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at the intersection of marine ecology, ocean technology, machine learning, and high-throughput biological imaging. This position offers a rare opportunity to help pioneer the use of advanced shadowgraph imaging systems
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decisions - locally, nationally and globally. The Body Project Gloucestershire is a research-informed prevention programme focused on improving body image and reducing risk factors associated with eating
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 22 hours ago
in real time. Our multidisciplinary approach integrates high-resolution imaging with cutting-edge genomics (CUT&RUN, Micro-C, Hi-C), proteomics, and CRISPR/Cas9 engineering to address the most pressing
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imaging at the single‑cell level. We welcome applications from recent PhD graduates interested in these or related areas, especially those with expertise in quantitative in-vivo and ex-vivo imaging