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language models (LLMs) and vision-language models (VLMs), you will investigate AI behavior, develop innovative evaluation methods, and translate scientific insights into real-world applications that improve
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. Experience applying computer vision, image analysis, and/or machine-learning methods to microscopy or materials characterization data. Demonstrated ability to analyze microstructural data and relate
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, retinal diseases, and vision science. Training opportunities may include imaging analysis, bioinformatics, statistical analysis, and grant and manuscript development. The specific training plan will be
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conducting experiments using immunohistochemistry, confocal imaging, whole-cell patch-clamp electrophysiology, and mouse tissue processing to investigate how neural circuits, synaptic physiology, and
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contribute to a transdisciplinary collaborative project that aims to utilize multiple phases of data collection to create time-lapse images of the study area in the southern Rio Grande rift, New Mexico. The
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at UNLV. Dr. Sengupta is the Associate Director of the UNLV MR Imaging Core (UMIC), the only public brain imaging research facility in Southern Nevada. This specialized imaging core significantly expands
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. Ongoing projects leverage large-scale multimodal clinical data, including electronic health records (EHRs), medical imaging, genomics, wearable devices, and unstructured clinical text, to develop novel
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the Australian Research Council The successful candidate should have research experience in electrochemical technology and prototype design. They will have excellent oral and written communication skills and
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using immunohistochemistry, confocal imaging, whole-cell patch-clamp electrophysiology, and mouse tissue processing to investigate how neural circuits, synaptic physiology, and neuroinflammatory pathways
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/PhD in Geosciences, Environmental sciences, remote sensing or computational sciences or image vision and related fields Language skills: Excellent English skills, German is beneficial Desirable skills