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Field
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will focus on developing efficient foundation models to medical image analysis. Foundation models offer a scalable and adaptable solution for medical image analysis by learning generalizable
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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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modelling knowledge, incorporate reliability/uncertainty, and/or explainable models. The position is in the Digital Signal Processing and Image Analysis Group, Section for Machine Learning, Department
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-learning-for-medical-image-analysis Where to apply Website https://www.jobbnorge.no/en/available-jobs/job/293458/phd-research-fellow-in-de… Requirements Research FieldComputer scienceEducation LevelMaster
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, or materials characterization. Experience with CT reconstruction or analysis software (e.g., Dragonfly, Avizo, VGStudio MAX, or similar). Experience with scientific data analysis software and image processing
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involving use of AI in image analysis and predictive modelling Develop prediction models that can predict product yield and quality from HTP data either for cultivation management or for predicting which
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to facilitate the imaging analysis. The position further involves regular and effective communication of results both within and outside of the immediate research environment, as well as collaboration with other
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microscopy. Complete image data analysis to characterize extracellular vesicles. Your qualifications should include: A Ph.D. degree in Cell Biology, Bioengineering, Biophysics, or a related discipline is
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systems using computer vision, quantitative image analysis, deep learning methods for detection, diagnosis, and quantitative analysis of abnormalities with multimodal data, including clinical and
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of this programme. The profile PhD in computer vision, computational biology, physics or a related discipline Demonstrated expertise in image analysis and working with large-scale imaging datasets Strong expertise in