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in the Phi_Lab, led by Dr. Azeem Ahmad, and will focus on the development of advanced reconstruction algorithms and next-generation quantitative optical microscopy and tomography systems for imaging
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of maintenance. The project aims to develop an integrated decision-support framework that combines inspection images, sensor data, and engineering interpretation to enable more transparent, evidence-based
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the patient’s self-management of medications after hospital discharge. Using the innovation method “design thinking” we have developed a prototype for the new intervention, which we have further improved through
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/Anders Lien 10th April 2026 Languages English English English PhD Research Fellowship in Quantitative Imaging and Cell Mechanics of Early Embryo Development Apply for this job See advertisement About the
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representations. The project will also explore machine-learning approaches and efficient imaging strategies, including reconstruction of three-dimensional pore structures from radiography. By linking defect
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and make particle beams more accessible for uses such as medical imaging. However, reaching very high particle energies in plasma accelerators is challenging. We are offering a postdoctoral position to
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closed-loop interventions for health, with extensions to robotic control. The core technical deliverable is a working prototype chip validated for bilateral gait and balance monitoring under controlled lab
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generated synthetic representations. The project will also explore machine-learning approaches and efficient imaging strategies, including reconstruction of three-dimensional pore structures from radiography
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UiO/Anders Lien 9th February 2026 Languages English English English Join a vibrant team at the University of Oslo as a PhD Research Fellow in Deep Learning for geoscience imaging! PhD Research
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. candidate will use mammalian cells, organoids, and animal models, and employ a range of approaches, including cell culture systems, diverse molecular techniques, and advanced imaging. The project will involve