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, or be close to completing, a PhD in statistical genomics, genetic epidemiology, data science, computing, artificial intelligence, biomedical engineering, or a related field. You will have significant
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evaluating computational methods, analysing imaging data, collaborating with clinicians for real-world impact, and contributing to publications. About You PhD (or near completion) in computer science
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and technology to industry and society. Computer vision is one of the most dynamic areas of artificial intelligence, enabling machines to understand and interpret the visual world. At CVC, we combine
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strong technical expertise in deep learning, such as models for image segmentation, classification, multi-modal processing, foundation models, or agentic frameworks. An extensive background in computer
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wildtype animals, we aim to use CRISPRcas technology to produce knock-out lines, which will facilitate comparative physiological and ecological experiments to understand the cost, function and ecological
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 2 months ago
pursue an interdisciplinary approach, developing novel quantitative MRI acquisition methods, image processing methods and integrated biophysical models. We are seeking a postdoctoral researcher to develop
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data collection in pig studies in collaboration with investigators, veterinary personnel, imaging staff, and other research team members. Develop and apply methods for processing and analyzing MRI, EEG
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at Chalmers University of Technology, which has a strong research focus on next generation chemistries and operando characterization of batteries with X-ray imaging and spectroscopy. Batteries@Chalmers gathers
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interest in societal impact. You have: Must have criteria: a PhD in computer science, artificial intelligence, data science, computational social science, urban analytics, geoinformatics, or a related field
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for analysing spatial omics and histology data from kidney tissue integrate imaging and molecular data to study how spatial patterns within tissue relate to graft health and disease work with clinical