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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 24 days ago
Associate position involves laboratory research in biomedical science. The position studies focus on an animal model of arthritis and include in vivo studies (muscles and behavioral analyses, imaging
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
Associate position involves laboratory research in biomedical science. The position studies focus on an animal model of arthritis and include in vivo studies (muscles and behavioral analyses, imaging
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for such models include high-resolution 3D imaging, time-resolved materials characterization, and atomic structure determination. Scientific instrument data is often multimodal in nature and developing DL models
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the advance of image technology, AI and hydroacoustics we are now in a position to target this problem from a different angle. We here advertise one 3-year postdoc position. The aim is to develop and apply
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brain delivery systems that grant access to the brain of therapeutic biologics and/or imaging and theragnostic agents. Receptor mediated transcytosis (RMT) pathways engaging different receptors of the BBB
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. For example, could drones scan the ground to support a visually impared person walking through a forest? Or could computer vision enable perception and sensing of a retail outlet? We are looking for a
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. The group comprises PhD-students and technicians all working on different aspects of complement regulation on human cells, employing techniques like ELISA, flow cytometry, confocal imaging, recombinant
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interpretation of text and image/video data to establish patterns in messages, beliefs, and experiences. This is the first position in the YOPOW research project, which will run for five years, from August 2025
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Inria, the French national research institute for the digital sciences | Montpellier, Languedoc Roussillon | France | about 2 months ago
of locations impact the model’s decision-making process when comparing ground-level image alignments VLMs with other remote sensing VLMs trained on captioned satellite imagery and text pairs. Develop
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students and contributing to educational initiatives. Experience with remote sensing, GIS tools, and image analysis techniques is an advantage, as is knowledge of genetic methods (e.g., SNP-based data