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representations. In this project, you will substantially improve quantitative magnetic resonance imaging (MRI) image quality using deep learning approaches. Quantitative MRI allows healthcare providers
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imaging, X-ray tomography/radiography).
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-culture approaches, and skilled in fluorescence microscopy and image analysis for functional read-outs of microphysiological systems Software: Proficiency in Python, MATLAB, or R for data analysis, and
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4 fully funded PhD student positions in the computational, mathematical & experimental plant science
. They apply and develop a broad range of interdisciplinary technologies ranging from genetics and genomics to structural biochemistry, advanced imaging and computational and mathematical modelling in various
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for experimental work Background in cell biology, immunology, and inflammation The following fields of expertise are considered an asset: Confocal microscopy and live cell imaging Working with immune cells Molecular
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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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medicine in sepsis. The group consists of senior researchers, postdocs, and PhD students with expertise in clinical medicine, cell and molecular biology, proteomics, and bioinformatics. Within the research
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to understand the drivers and dynamics of sediment transport along this highly populated and vulnerable river. Additionally, it will explore the use of prototype water quality sensors (Hydrobeans) to understand
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relentless arms race. While viruses evolve new infection strategies, archaea evolve new antiviral defence mechanisms. However, we still lack a clear picture of this process. This project will address
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, PhD students, postdocs, and/or senior scientists. PhD projects will be co-developed between the PhD supervisor and the PhD student, and will involve applied and/or methodological research drawing