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Field
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PhD Studentship: Experimental Investigation of Pharmaceutical Tablet Disintegration and Drug Release
will explore the science behind tablet disintegration and drug release, using advanced imaging and analysis techniques to improve drug design and manufacturing. You will work closely with a UKRI-funded
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Your position Magnetic resonance imaging (MRI), developed in the early 1970s, offers exceptional soft tissue sensitivity and has powered the astounding progress of medicine over the past fifty years
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15.04.2025, Wissenschaftliches Personal The Lab for Artificial Intelligence in Medical Imaging (www.ai-med.de) is inviting applications for a fully funded PhD position in interpretable machine
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sensors to understand their local surroundings at sea and inform optimal action. To ensure safety requires the ability to reliably detect, image and recognise their environment, in terms of surrounding sea
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the development of the optical setup, nanofluidic systems, and image processing. Additionally, you will be actively involved in experimental investigations to tackle key questions in life sciences and collaborate
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GERICS develops science-based prototype products and services in support to government, administration and business in their efforts to adapt to climate change. It builds up a national and
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We invite applications for a fully funded PhD research scholarship in “Unsupervised Machine Learning for Cardiovascular Image Analysis”. This opportunity is available to UK (Home) candidates only
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PhD Studentship: Towards Sustainable Powertrains: Enabling High Motor Performance without Rare Earth Materials and Energy intensive Manufacturing Processes the University of Nottingham This project
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about our proposed methodology. In this method, the images taken by each drone will be loaded into the pre-processing unit and then the pre-processed data will be used as the input of the deep learning
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-speed cameras (in a newly renovated lab dedicated to our research group). A significant component of the analysis will include image processing, including data-driven methods and machine learning. You