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frameworks (e.g., PyTorch, TensorFlow) and medical image processing is essential. Candidates should demonstrate a track record of peer-reviewed publications in the field of AI for medical imaging. Preference
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research is based on large and high-dimensional datasets across multiple modalities, including molecular, clinical and histopathology imaging data. Our computational pathology research is based
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shoots, and optimizes methods. Analyzes, interprets, and presents complex experimental results. Performs statistical analyses. Understands models of biological processes, derives appropriate predictions
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, Dr Anthony Phillips (School of Physical and Chemical Sciences) and Prof Huasheng Wang (School of Engineering and Materials Science) are assembling a team to build a prototype barocaloric cooling device
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, Dr Anthony Phillips (School of Physical and Chemical Sciences) and Prof Huasheng Wang (School of Engineering and Materials Science) are assembling a team to build a prototype barocaloric cooling device
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dynamic X-ray imaging, then come to DTU and work with us! We are seeking a full-time postdoctoral researcher to join DTU Compute as part of the Villum Synergy funded project “MathCrete”. This research
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/spheroid preparation, confocal microscopy, live-cell imaging, and super-resolution microscopy. The postdoc will also be responsible for image processing using custom-developed code and software, as
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. The Postdoctoral Associate will apply his/her technical skills toward development and implementation of machine learning, computer vision, and other algorithms for analysis of medical images and prognostication as
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experimental and computational approaches are employed to shine light into key biological processes during the life of parasitic flatworms. Large-scale sequencing datasets (‘omics’) are generated and analyzed
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to analyze large-scale clinica datasets, including electronic health records (EHR), medical imaging, and unstructured clinical text. The candidate is required to have a Ph.D. in biomedical informatics