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; significant practical experience in 3D image analysis or computer vision; knowledge and experience in scientific programming (python (preferred), Matlab or other relevant language) with application to image
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include: i) resolution of the dynamics and evolution of the primary and secondary atomization zones with a view to optimize and control spray formation processes. The e-fuel blends will include miscible and
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significant mathematical and computational background to learn and develop new AI methods. While demonstrated experience in computer vision and deep learning for pathology or other biomedical image analysis is
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their degree in the near future) in Cancer Biology or a related field. Proficiency in experimental techniques such as cell/organoid culture, library construction, imaging and handling animal models. Experience
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Bioengineering or Biomedical Engineering, with good experience in biological imaging and image processing. Those with basic knowledge of imaging system development would have an advantage. The appointee should be
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Organisation Job description Postdoctoral position: ManufActuring contRol Sonicare (MARS) Due to the complexity of the assembly process anomalies can occur, that lead to unplanned downtime and sub
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environmental conditions. Our lab is equipped with state-of-the-art facilities, including multimodal laser-induced shock waves, terahertz spectroscopy and imaging, high-resolution and high-speed digital image
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solutions informed by the latest ideas in medical imaging AI, computer vision and robotic guidance; and evaluate models in simulated and real clinical scenarios. Evaluation may involve quantitative studies
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
of computational neuroscience and medical image analysis. Preferred Qualifications, Competencies, and Experience Strong organizational skills. Special Physical/Mental Requirements Special Instructions
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. The applicant will join a well-funded lab to engage in basic and translational neuroscience research. The laboratory uses in-vivo and in-vitro recording techniques including 2-photon imaging, whole-cell recording