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analysis and is increasingly used in cancer research to uncover morphological features linked to disease pathology and severity. Similarly, molecular profiling through ‘omics technologies has provided new
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analysis and is increasingly used in cancer research to uncover morphological features linked to disease pathology and severity. Similarly, molecular profiling through ‘omics technologies has provided new
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standard imaging analysis method including use of Python (NumPy/SciPy/PyTorch/Tensorflow), Matlab, C++, version control software (e.g. git), and statistical analysis using R, SQL, etc. Familiarity with
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standard imaging analysis method including use of Python (NumPy/SciPy/PyTorch/Tensorflow), Matlab, C++, version control software (e.g. git), and statistical analysis using R, SQL, etc. Familiarity with
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biological, and live cell fluorescence imaging experiments. Associated structural analysis of the proteins by cryo-electron microscopy will be undertaken via collaboration with other workers. This full-time
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We have an exciting opportunity for a Postdoctoral Research Assistant in Quantitative Spatial Data Analysis for Colorectal Precancer to join the multidisciplinary GO-PRECISE colorectal precancer
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About the role We are seeking a Postdoctoral Research Assistant to join the Control Engineering group at the Department of Engineering Science (central Oxford). The position is funded by EPSRC and
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flexible, with an earliest starting date of 01/09/2025. The successful candidate will be part of a research group with responsibility for carrying out research in Modelling, Simulation, and Analysis
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We are seeking a full-time Postdoctoral Research Assistant to join the research group of Professor Jens Rittscher at the Department of Engineering Science, Institute of Biomedical Engineering
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We are seeking a full-time Postdoctoral Research Assistant to join the research group of Professor Jens Rittscher at the Department of Engineering Science, Institute of Biomedical Engineering