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Description Join the Next Generation of Cancer Imaging Research We are seeking highly motivated students to join an exciting multidisciplinary program focused on the development of novel molecular contrast
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science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and
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of novel volumetric representations and computational imaging methods for paired visible-light and X-ray images, as well as extending computer vision techniques from the visible-light RGB photography domain
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the development of novel volumetric representations and computational imaging methods for paired visible-light and X-ray images, as well as extending computer vision techniques from the visible-light RGB
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methods, image processing, high-speed imaging, cryogenic testing, composites, numerical modelling or non-destructive testing is an advantage. You can work independently while collaborating effectively with
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of Sanquin is home to 250 researchers, including over 60 PhD students and 30 postdocs. Research at Sanquin is organized in four strategic themes: Anemia, Bleeding & Hemostasis, Immunity & Inflammation, and
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
application process here. About the position The Department of Department of Mechanical and Industrial Engineering is offering an exciting PhD position within the Norwegian Maritime AI Centre , a national
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the operation of contemporary and future plasma-based sources of extreme-ultraviolet (EUV) and beyond-EUV light for nanolithography. In our group’s research we, for example, uncovered the quantum origins
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closely connected to brain regions involved in memory and cognition, including the entorhinal cortex and hippocampus. The olfactory bulb, the first central relay station for smell processing, may therefore
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with simulated data and 2D and 3D imaging data of plant tissues (the thale cress Arabidopsis and the aquatic fern Ceratopteris). At a later stage, the models can be extended to three dimensions using