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for the PhD education . Assessment The assessment of the applicants will be made by Assoc. Prof. Line Hagner Nielsen, Prof. Stephan Sylvest Keller, Dr. Signe Tandrup Schmidt and Dr. Gabriel Kristian Pedersen
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Department: Molecular Imaging – Pathology – Radiotherapy – Oncology Regime Full-time Let’s shape the future - University of Antwerp The University of Antwerp is a dynamic, forward-thinking
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the imec-Vision Lab (image reconstruction, processing, and analysis), the Bio-Imaging Lab (preclinical neuro-MRI), and the Laboratory of Cell Biology and Histology (cell biology and advanced microscopy
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Uppsala University, Department of Information Technology Are you interested in developing new image analysis and machine learning methods for improved cancer understanding, diagnostics, and
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. David Marlevi, Prof. Ulf Hedin, and Dr. Ljubica Matic to improve stroke risk prediction for patients with carotid atherosclerosis using a multidisciplinary combination of data-driven imaging
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employment is Hamburg. GERICS develops science-based prototype products and services in support to government, administration and business in their efforts to adapt to climate change. It builds up a national
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of image analysis and machine learning with a minimum of 90 higher education credits. Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural
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the spatial and temporal patterns you see on satellite images? If you want to engage in research combining these two to study drought and recovery patterns in Dutch landscapes with forest patches and to be part
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validating deep learning models for the prediction of disease progression from ophthalmic data. Skills include working with image or computer vision-based toolkits, development of multimodal, multidata type
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Job Description In this project, you will develop new ways to study cancer using Magnetic Resonance Imaging (MRI) of various nuclei. The studies so far have been using Positron Emission Tomography