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Field
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: Preferably PhD degree in Computer Science or equivalent. Have a solid foundation in the following areas: Computer Vision, 3D vision; Strong publication records in top-tier computer vision and machine learning
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, Orthopaedics, Regenerative Medicine, or a related discipline. Demonstrated research experience in tissue engineering, regeneration, biomaterials, hydrogel systems, 3D bioprinting, implantable devices, or related
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Center for Biologics Evaluation and Research (CBER) | Southern Md Facility, Maryland | United States | 17 days ago
, you will focus on two interconnected research areas: Development of three-dimensional (3D) cell culture systems to evaluate AAV product potency and immunogenicity. Unlike traditional two-dimensional
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, such as atmospheric composition, and/or 2) Experience in forward models, which can take many different forms (e.g. climate, chemistry, cloud), as well as levels in complexity (e.g. 1D to 3D). However, we
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, transpiration response, biomass accumulation, quality of produce) using automated determination of transpiration, imaging (side view imaging with RGB), 3D-imaging, chlorophyll fluorescence imaging. Develop
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themes: (a) learning efficiency, computational creativity (zero, few-shot, and long-tail learning of 2D and 3D vision tasks. This also includes efficient generative models that are capable of generating
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development) The postdoctoral research fellow will develop and validate low-TRL integration methods that enable electronics–photonics co-packaging and heterogeneous integration across 2D / 2.5D / 3D schemes
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organoid or 3D culture systems strongly preferred. Familiarity with spatial omics or multiplexed imaging approaches a plus. Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are
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. The work further includes detailed analysis of nuclear pore complex architecture using electron tomography and 3D serial block-face scanning electron microscopy, supported by advanced image analysis tools
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fractures can play a key role on production performance. One of the persisting challenges is to create complex 3D fracture networks and solve multiphase flow efficiently. None of the existing tools can