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Field
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, Image Processing, Biomedical Engineering, or related fields will be considered for the position of Senior Research Assistant. Applicants with a PhD degree in the above-mentioned areas are eligible
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team includes a medical PhD student with pathology expertise who performs surgical specimen collection, tissue slicing, micro-CT scans, histological processing, and initial registration. The postdoc will
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opportunities across UNMC. Required Qualifications • PhD in Neuroscience, Biology, Physiology, Pharmacology, or related discipline • Demonstrated experience with rodent stereotaxic surgery (must) • Strong
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multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities
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You will: Lead a project on synaptic and circuit mechanisms underlying sensory processing in V1 Implement advanced in vivo approaches, including two-photon imaging, optogenetics, and/or
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Send your CV along with a motivation letter to chloe.lehoucq@pasteur.fr with benjamin.devauchelle@pasteur.fr in Cc. The candidate should have a PhD in Neuroscience or Cognitive science and the
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multimodal vision-language models for prompt-based 3D medical image segmentation Work with large-scale clinical CT datasets and scalable deep learning pipelines Validate models in close collaboration with
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 42 minutes ago
cycles. Understanding these complex interactions requires measurements that go beyond traditional multi-spectral imaging. Imaging spectroscopy—capturing the full contiguous spectrum from the Visible
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or Biomedical Engineering or a closely related field. Preferred Qualifications: PhD in medical applications of physical sciences and engineering. Experience in medical imaging, breast x-ray imaging, image
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longitudinal consistency and data quality, including parameter tracking, protocol versioning, and rigorous QC frameworks Implementing, validating, and extending image-processing and analysis pipelines