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Memorial Sloan Kettering Cancer Center | New York City, New York | United States | about 2 hours ago
Role Overview: We are seeking a highly motivated computational biology postdoctoral fellow to lead translational studies in single cell and spatial biology of gastric cancer immunology and evolution
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
motivated candidate with a strong interest in machine learning and clinical neuroscience. The lab studies resilience and vulnerability in brain aging and dementia, and builds computer-aided methods and tools
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opportunity to work at the interface of cancer biology, computational biology, bioinformatics, and biostatistics, with access to state-of-the-art multi-omics technologies, patient-derived models, 3D cancer
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engineering Computer science » Programming Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 15 Nov 2026 - 23:59 (Europe/Paris) Country France Type of Contract
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and apply AI and machine learning methods for signal processing, image analysis, data fusion, and prediction; · build physics-informed and hybrid AI models that combine geophysical knowledge with data
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 13 hours ago
2 Oct 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile Recognised Researcher (R2
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. degree; Experience with laboratory techniques including transcription regulation, imaging, tissue-on-chip, vascular biology, oxidative biology, or hypoxia research Some experience with human research
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, multispectral and infrared imaging, spectroscopy, image processing, computational analysis, and clinical investigation to develop technologies that can improve diagnostic accuracy and reduce disparities in care
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this role you need to have the following qualifications A PhD in Computer Science, Applied Mathematics, Physics, Engineering, Scientific Computing, Image Processing, Data Science, or a closely related
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analysis, kinetic modeling, data analysis, and results dissemination. Qualifications: The ideal candidate will have some prior hands-on experience in preclinical PET/CT or PET/MR imaging, image processing