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and experience. Job responsibilities include: • Develop or identify quantitative tools for imaging data processing, including diffusion, anatomic, and BOLD fMRI. • Oversee data quality assurance/quality
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multimodal signals to improve the performance of multilingual models for low-resource languages, such as Luxembourgish. Particular emphasis will be placed on language-agnostic modalities, including images and
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multimodal data. Your responsibilities include: Developing and applying machine learning, deep learning, and LLM-based methods to multimodal clinical datasets e.g. EHR, imaging, omics, sensor data Designing
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 28 days ago
3D and image-based computer vision Experience implementing 3D computer vision algorithms and training end-to-end machine learning models (from data collection and design to evaluation) Knowledge and
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Chair of Biological Imaging 02.02.2026, Academic staff We are looking for a researcher (m/f/x) ready to try new techniques and approaches and explore and tweak them until they work. The lab
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), Computational Biology (stochastic and analytical models of gene expression), Signal Processing (machine learning, image and signal processing), Biophysics, Microbiology and Single-cell Biology (flow cytometry
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Resilience Institute. We seek a talented and highly organized scientist to support and advance multiple collaborative projects that integrate high-throughput phenotyping, advanced imaging, quantitative
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Aleks Tata lab in the Department of Surgery, Duke University School of Medicine has an opening for postdoctoral researchers to study mechanisms in lung injury-repair. We seek to understand the cellular
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the factors associated with shoulder pathology, symptom presentation, and functional decline. We conduct rigorous, clinically relevant research by integrating diagnostic imaging, motion analysis
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out independent as well as collaborative research in the area of Ultra-High Field Magnetic Resonance Imaging (MRI). The position involves the development of 7 Tesla MRI methods and applications