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PhD Studentship: Experimental Investigation of Pharmaceutical Tablet Disintegration and Drug Release
research team, including postdocs and fellow PhD students, to conduct hands-on experiments such as: Formulating and manufacturing tablets with different structures. Using cutting-edge imaging (X-ray
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background in biology, programming or mathematics is meritorious. Knowledge in medical image processing, image registration, and large-scale analyses of genetic (including Mendelian randomization), protein, or
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Sintorn, Professor in digital image processing, at the Department of Information Technology and conducted alongside researchers developing computational methods with a particular focus on deep learning and
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organizations and typically informs important decisions in healthcare, governments and finance. Yet, while AI has demonstrated a high impact on applications on text and images, proportional progress on structured
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information may be obtained from Associate Professor Fatemeh Ajalloueian, faaj@dtu.dk , and Postdoc Gohar Soufi, gohsoo@dtu.dk . You can read more about DTU Health Tech at www.healthtech.dtu.dk . If you are
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, healthcare and finance. Yet, while AI has demonstrated a high impact on applications on text and images, proportional progress on tabular data is lacking. With the TRL Lab (Table Representation Learning Lab
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, such as molecular data (e.g. omics), imaging, electronic health care records, longitudinal patient and population registries and biobanks. To be a doctoral student means to devote oneself to a research
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Course location Hamburg Description/content The Cluster of Excellence "CUI: Advanced Imaging of Matter", which is funded by the German federal and state governments, combines projects in physics
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disease states. The candidate will also have the opportunity to work with state-of-the-art equipment such as a small animal radiation research platform (SARRP),cabinet irradiators, and in vivo imagers
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of image analysis and machine learning with a minimum of 90 higher education credits. Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural