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unprecedented real-time visualisation of these processes, yet systematic investigation across diverse rock types and integration with predictive models remains lacking. In this PhD study, you will be performing
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We invite applications for two fully funded PhD positions in the field of experiments and diagnostics of low-temperature electrolysis of iron oxide for iron electrodeposition . These positions
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/Julia) are essential. Ideally, you will have experience with acquisition and processing of tomographic images, rock mechanics, machine learning and/or numerical modelling. Given the highly diverse nature
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protocols and have affinity with medical topics. You have knowledge of CT dosimetry and radiation physics. You have good experimental skills and experience with image processing. You have some knowledge in
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performance programs. As a PhD candidate in this project, you will: Investigate muscle physiology using advanced techniques such as MRI-DTI, ultrasound imaging, muscle stimulation, and electromyography (EMG
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specifically, do you want to perform cutting-edge research and develop novel advances in hyperbolic deep learning for computer vision? Then check out the vacancy below and apply for a PhD position in this
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passionate about working with stem cells or stem cell-based biomaterials? And eager to explore cutting-edge technologies like genome editing and in vivo imaging? Or are you perhaps fascinated by eye research
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heavily on ChatGPT or a similar Generative AI application, your application letter will be very … Where to apply Website https://www.academictransfer.com/en/jobs/356298/phd-position-image-description
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PhD position within the EMBRACER project, focusing on the role of climate feedbacks, tipping points, and uncertainties in integrated assessment models (IAMs). You will work on improving
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PhD Development of a Low-Voltage Multi-Beam SEM for High-Throughput Imaging | TU Delft Job description Scanning Electron Microscopy (SEM) plays a central role in today’s nanoscale imaging across