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the University of Amsterdam (UvA) as an Assistant Professor in AI and Medical Image Analysis within the Quantitative Healthcare Analysis (qurAI) group. Join Us! The Quantitative Healthcare Analysis
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interest in medical imaging, radiation safety, and AI. - Experience with Python, deep learning frameworks (PyTorch/TensorFlow), or image analysis (preferred). - Good communication skills and fluency in
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immunology with demonstratable experience and advanced knowledge of computational biology. You have experience with data-intensive technologies, such as the analysis of spectral flow cytometry, imaging, single
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support the failing heart—at the exact moment it matters most? This PhD position bridges a state-of-the-art Mechanical Circulatory Support (MCS) experimental lab with real-world clinical analysis in
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neuroanatomy, neuroscience or a related field, and enjoy analysing neuroimaging data, scripting and data analysis? And are you passionate about medical imaging and its potential to improve our understanding
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of computational biology. have experience with data-intensive technologies, such as the analysis of spectral flow cytometry, imaging, single-cell transcriptomics, or spatial tissue profiling data, and should be keen
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development in vivax-type malaria parasites. To unveil unique parasite biology, we will combine state-of-the-art omics, gene editing, and imaging technologies in a highly collaborative setting. We need your
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types of data, including omics data, analytical data, imaging data and ecological data. Through this position, we aim to strengthen research and methodological innovation capacities for data analysis and
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extravasation into tissue, and by jointly optimizing nanobubble formulation and image acquisition, analysis and interpretation methods. As it is the most common and second-most lethal cancer in the western world
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interventions. Flexible hybrid working is possible: data analysis and statistical work can be done remotely, with regular on-site meetings for team collaboration and integration with clinical and imaging experts