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to define how RecQ helicases maintain genome stability to limit premature aging and cancer development. These projects will benefit from access to cutting-edge mass spectrometry, imaging, screening and
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dynamic X-ray imaging, then come to DTU and work with us! We are seeking a full-time postdoctoral researcher to join DTU Compute as part of the Villum Synergy funded project “MathCrete”. This research
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for this position will be a highly motivated individual with experience in deep learning and medical imaging and a PhD degree in computer science, electrical and computer engineering, biomedical engineering
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pipeline; build a prototype system that supports interactive workflow synthesis and question answering; collaborate with a technical assistant and two PhD candidates working on geodata/workflow modelling and
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with cutting-edge models and technologies—including patient-derived glioblastoma organoids, CRISPR-based screens, mass cytometry, and advanced microscopy—to dissect these complex biological processes
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project, “Mathcrete”, and offers a unique opportunity to collaborate closely with another Postdoc specializing in 3D nano image reconstruction and modelling tools development, as well as other PhDs and
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Department:Radiology Salary Salary:$50,004.00 to Commensurate Position Details Full/Part Time Status:Full Time Percent Time:100% Position Description: Post-Doctoral Research Fellow in Quantitative Brain Imaging The MR
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quantitative proteomics and imaging to understand microtubules impact cell physiology. We offer a vibrant and creative multidisciplinary environment, and the successful candidate will be supported to develop
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Carolina at Chapel Hill invites applications for a Postdoctoral Research Associate position in astronomical data pipeline development supporting the upcoming Argus Array, with a focus on optimizing image
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genomics, virtual cell models Graph-based neural networks, optimal transport Biomedical imaging, deep learning, virtual reality, AI-driven image analysis Agentic systems, large language models Generative AI