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visualization of scientific data. Currently, InfraVis employs over 50 experts across nine universities. CIPA is Lund University’s local infrastructure for image processing and analysis. CIPA is also the
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should have a strong background in quantitative medical imaging and: 1) image processing of the cardiopulmonary system or 2) a strong epidemiological background allowing them to utilize the output of
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analysis, aimed at understanding how the human brain encodes information. The position is placed in the Digital Signal Processing and Image Analysis group (DSB), Section for Machine Learning, Department
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Image Processing and Analysis Group. This is an ideal position for someone with software/statistics background who is looking for some experience before applying to graduate school or to medical school
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(ultrasound, x-ray scattering, IR imaging), and experimental equipment design (CAD, controls (i.e., LabView, Python, Arduino, G-code), image/video processing (i.e., ImageJ). [1] A. Bandyopadhyay
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diagnosis and treatment, with a particular focus on hypertension and other cardiovascular diseases. The work involves advanced processing and analysis of 4D Flow MRI data, as well as the integration of image
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research findings in international peer-reviewed journals. The research is conducted in close collaboration with experts in medical image analysis, MRI physics, cardiology, mathematics, and systems
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., Claude Code) Strong mathematical foundation relevant to quantitative image analysis (optimization, regression, statistics, signal processing, cluster analysis, machine learning) Advanced skills in
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medical image processing, excellent Python programming skills, and prior experience training and evaluating neural network models (e.g. in PyTorch). Familiarity with biomechanics or finite-element
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supported by the KI Innovations office to translate research findings into clinically applicable tools for improving healthcare. The core competences of the group include large-scale image processing