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Field
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, proteomic, transcriptomic, imaging, biochemical and/or physiological experiments to elucidate factors critical for important insect traits (digestion, feeding, development, reproduction, DNA repair, etc
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the exciting, friendly, and interdisciplinary environment of the "Imaging & BioInformatics" research group in the Leiden Institute for Advanced Computer Science (LIACS). Stowell's team also has regular close
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cancer progression in the West lab in the Department of Pathology at Stanford. Successful candidates will use a combination of spatial transcriptomics and highly multiplexed imaging to understand how
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, neural circuit analysis, molecular biology, imaging, or biochemistry techniques. Knowledge, Skills, and Abilities Excellent verbal and written skills. Presentation skills. Analytical skills. Attention
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with the world's first exascale system, the Frontier supercomputer, and collaborate with experts in machine learning, optimization, electric grid analytics, and image science. The successful candidate
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across heterogeneous data types such as clinical, imaging, omics, text, and experimental data. The work will include developing approaches for continual model improvement, adaptive federated training
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implementing BCDI, XPCS, nano-beam and time resolved microscopy, PDF, 3D imaging techniques, PCI, and other techniques for advanced characterization of materials across solid-liquid and into melt. Measurements
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, functional stability, reporter output, dose-response, and longitudinal performance studies. Familiarity with sterile technique, fluorescence imaging or plate-reader assays, molecular/cellular assay workflows
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(SEM): Electron Back- Scatter Diffraction (EBSD), Electron Channeling Contrast Imaging (ECCI), and other SEM-based modalities Expert on modalities in the transmission electron microscope (TEM
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energised — not deterred — by problems that sit between physics, learning and the messy real world. Your experience and profile: a PhD (completed or near completion) in Machine Learning, Computer Vision