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project combines advanced 2D and 3D bioimaging, including micro/nanoCT, confocal microscopy and SEM, with computational image analysis, computer vision and machine learning. The aim is to develop robust
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labour-intensive, requiring researchers to record video, synchronize it with streams from the VR viewer's point of view, and manually coding VR events and the participant behavioural response. This
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. Required knowledge Python programming Machine learning background Text analysis Image analysis Learn more about minimum entry requirements .
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for detecting and mitigating the presence of deepfakes in digital content. Required knowledge Python programming Machine learning background Image analysis Video analysis Audio analysis Learn more about minimum entry requirements .
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analysis of selected materials. If 4D tomography or digital volume correlation is limited by access or image quality, repeated ex situ micro-CT during interrupted loading is the predefined fallback. The
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background in coding, controls, and AI/machine learning would be helpful for the role. Experience with participant recruitment and retention as well as clinical human subject studies is a plus. Special
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infrastructure The lab offers access to state-of-the-art experimental facilities, including large-scale structural testing systems (e.g., Panel Element Tester) and advanced instrumentation (e.g., Digital Image
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areas include: Oral and maxillofacial radiology, including CBCT and advanced 3D imaging Intraoperative 3D imaging and image-guided workflows 3D scanning and digital data acquisition Segmentation and
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, Lund University. This interdisciplinary composition enables studies ranging from the development and preclinical evaluation of radiopharmaceuticals to biological characterization, quantitative image
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required Last name required What is your email address? required Your CV required Your file must be a .doc, .pdf, .docx, or .rtf. No larger than 1MB Selected file: Crop image Remove file Close Edit image On