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Field
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, and application of medical image analysis, machine learning/AI tools with relevance to this project. The candidate should also have strong problem-solving abilities, excellent communication skills, and
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, transcriptomics, antibody assays, and advanced 3D microscopy. For this, a lightsheet microscope dedicated to the imaging of cleared samples has been acquired, as well as a workstation for VR-assisted image analysis
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research projects. Preferred Qualifications: Experience in image grading, image analysis, machine learning, clinical data analysis, and clinical study design is desirable. Knowledge of neural network and
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., SHAP, LIME) and radiomics preferred. Quantitative Analysis: Demonstrated ability to handle multimodal datasets, conduct statistical analysis, and apply predictive modeling and validation techniques
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of the world’s largest healthcare manufacturing organisations. We seek highly motivated researchers to form a team to bring a new bioprocess optimisation paradigm of autonomous navigation into being. About the
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you The post requires a motivated researcher, ideally with experience in x-ray imaging, image analysis, image-based modelling and hands on experimentation. You will have a PhD and knowledge and
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PhD* (or equivalent research experience) in a relevant subject (only for Research Fellow position). Candidates with a non-healthcare degree are welcome to apply. Familiarity with image data analysis
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a Master in Sound and Image, Multimedia, Visual Arts, New Media, Sonic Arts, Architecture, Art and Technology, Cinema, or a related field. Specific requirements: Candidates must also have knowledge
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in the health sciences, including fields such as healthcare informatics, movement and rehabilitation sciences, medical imaging, remote sensing, computer vision, mental health, data fusion
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measurements, capacitance-voltage (CV) profiling, current-voltage (IV) analysis, and deep-level transient spectroscopy (DLTS). All the facilities are located at OtaNano, a national research infrastructure in