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, Interoperable, Reusable) knowledge that supports health-risk assessment, reporting, and decision-making. You’ll design and prototype scalable data workflows (e.g., ETL/ELT pipelines, data lakes/warehouses
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without triggering autoimmunity. To address this, our research program heavily focuses on studying T and B cell population dynamics through intravital 2-photon imaging and the role of secreted immune
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develop new deep learning algorithms for spatio-temporal medical image analysis with particular focus on learning from limited labelled data. General information about the position. The position is a fixed
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. LCBC conducts experimental as well as large-scale longitudinal studies combining brain imaging, cognitive testing, genetic and biomarker data, and registry linkages to uncover the mechanisms underlying
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develop new deep learning algorithms for spatio-temporal medical image analysis with particular focus on learning from limited labelled data. General information about the position. The position is a fixed
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cognition with the application and development of advanced methods in neuroscience and neuropsychology. Methods for brain-imaging and brain stimulation are employed to understand, predict, and change human
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results. You will join the Section for renewable energy and forest sciences and conduct cutting‑edge research using remotely sensed point‑cloud and image data to map forests. The position is part of two
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and Transmission Electron Microscopy studies at the Department of Physics. This PhD position is within the field of experimental materials physics and nanotechnology, in the project «Nanoscale imaging
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position is within the field of experimental materials physics and nanotechnology, in the project «Nanoscale imaging of magnetic skyrmion dynamics in thin film devices» (NIMSKY). Magnetic skyrmions
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(imaging, 3D point clouds, or multispectral data). Good presentation skills, written and oral in English Qualifications considered an advantage Background in plant genetics/genomics/phenomics (SNP analysis