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Field
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, mammography, CEM, ultrasound, CT, and X-ray Apply highly specialised technical skills in medical image processing, deep learning, statistical modelling, and data harmonisation for multi-modal research datasets
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research facilities, and high-performance computing resources. Education Requirement: - MBBS, MBBCh, MS, MD, PhD, or MD/PhD in Radiology, Medical Physics, Biomedical Engineering, Computer Science, or a
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and reliable quantification in theragnostic studies, strengthening the translational relevance of imaging data. Close collaboration with medical physicists within the unit will support quantitative
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publications in medical image analysis or computer vision video analysis. Knowledge of ultrasound imaging is not a requirement but an interest in research at the interface of machine learning with real-world
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evaluating computational methods, analysing imaging data, collaborating with clinicians for real-world impact, and contributing to publications. About You PhD (or near completion) in computer science
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video-based CHD biomarkers. You will work closely with clinical domain experts to define and evaluate AI models. You should hold a relevant PhD/DPhil (or near completion) in medical video analysis
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University of Basel and the University Hospitals Basel. It unites basic and clinical scientists to advance our understanding of health and disease and to develop therapies for areas of unmet medical need. With
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or Functional ultrasound imaging or Electrophysiology (neuropixels) in behaving animals Quantitative data analysis and computational modeling of network activity Data acquisition systems, signal processing and
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Qualifications PhD in Neuroscience or other related field Experience in in vivo dosing (IV,IP, SC), mouse brain stereotactic surgery, in vivo two photon imaging, image analysis Qualified applicants must be
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and calcium imaging; (ii) experience in conducting experimental research in rodents, involving mouse behaviour, tissue extraction, MRI; (iii) Experience in stereotaxic surgery in adult mice; (iv