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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow in Machine Learning for Computational Pathology, Medical Imaging, and Clinical Text Analysis Department Bashashati
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(kidney biopsy, serum, urine) for comprehensive biomarker profiling. Utilization of machine learning and image processing for advanced tissue analysis. The Herman B Wells Center for Pediatric Research
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Biology, Medical Imaging, Physiology, Biochemistry, or a related field. Experience: Experience with animal models of disease Strong publication record Strong communication skills Skills: Experience with
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* Experience in one or more of: AAV/vector biology, in vivo gene delivery, mouse models/surgery, single-cell/spatial transcriptomics, ATAC-seq, microscopy, quantitative imaging, computational analysis (R/Python
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). Proven experience in scientific programming and numerical computing (MATLAB, Python, or C/C++), including implementation of reconstruction algorithms and image processing pipelines. Experience with
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implementation of reconstruction algorithms and image processing pipelines. Experience with experimental optical systems, including optical alignment, calibration, and performance evaluation. Experience in
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(e.g. embryology, and medical imaging) and research methodology (e.g. biostatistics and scientific writing). The research assistant will have the opportunity to teach in the anatomy curriculum and to
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disease patients using radiation therapy. The primary aim of this research is to develop real-time target tracking and/or dynamic imaging algorithms for implementation within radiotherapy and medical
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The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR ) group led by Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is
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This role is part of a collaborative Cancer Research UK funded programme focussed on developing radiotracers that target receptors associated with hard-to-treat cancers. It is based in