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learning Distributed and federated training The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another
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research results to various communities and a wider public Academic self-administration For questions and further information, please contact Your profile PhD in Inclusive education, with a focus on at least
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Learning with Graphs led by Prof. Nils M. Kriege. Our research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains
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Job Description The Staff Scientific Computing Engineer advances data analysis projects by developing hardware/software solutions and providing technical leadership for critical scientific computing
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. Development of quantitative image analysis to extract information on atomic vibrations and displacements from image series. Investigate molecular adsorption, surface reconstruction and site-dependent reactivity
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Research Associate II or Clinical Research Associate II (RN) is responsible for performing data abstraction, collection, and broad activities in support of clinical research for the Hospitalist Medicine and
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research in focused ultrasound therapy, aiming to achieve breakthroughs in acoustic physics, ultrasound biology, multimodal imaging, intelligent treatment, and clinical big data. Our mission is to develop
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: Lead unbiased, data-driven integration of: Spatial transcriptomics data Genomic alteration profiles (copy number alterations, SNVs) Histopathological diagnoses and clinical metadata Radiomic features (in
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datasets, UAV-derived information on NBS, and environmental data to quantify ecosystem services across Danish agricultural landscapes. The postdoc will work within an interdisciplinary team of applied and
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(APS). The GL also contributes to the development of next-generation microscopy methods, instrumentation, and data workflows, while overseeing the group’s day-to-day operations, budget, user science