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expertise in advanced immunology, histology, flow cytometry, confocal microscopy and image analysis techniques. Experience in different national and international laboratories is a positive aspect to be
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laboratory in the Department of Genetics at Rutgers. The laboratory research uses mouse systems to study processes relevant to human reproduction using genetics, molecular biology, biochemistry, cell biology
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artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer Science
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kidney injury, providing deeper insight into the cellular processes that support renal immune function. Candidates must have a proven record of scientific achievement during graduate and/or postdoctoral
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resonance imaging) Fluency in English Experience and knowledge: Required: Experience in computer programming Expertise in Python programming for Machine and Deep Learning, e.g., sklearn, pytorch, tensorflow
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modern challenges in sustainability, nonlinear optics, photonic and quantum technologies, new nanostructured materials, sensing, imaging and clean energy. The group adopts an interdisciplinary approach
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 10 days ago
research lab consists of more than 20 researchers, faculty members, PhD students, engineers and interns, working in the field of image processing and neuroimaging. The team targets the detection and
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translational research team and help shape the future of pediatric leukemia treatment through image-based drug profiling. We’re looking for a dedicated Postdoc to join our research team, where science meets
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hospital environment. Responsibilities and qualifications The principle responsibility of the postdoc is to implement an improved processing pipeline for SURE and ULM imaging, which can be used in both a
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pediatric AML Development of advanced computer vision models for pipeline improvements: https://doi.org/10.1016/j.xcrm.2025.102304 Multi-omics analysis including high-throughput data from image-based drug