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Your Job: Combine multimodal brain imaging with advanced image-processing, data science, and AI techniques to perform image alignment, segmentation, and classification to construct and validate
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on two core but complementary areas: Computer vision and sensor data analysis, applied to tasks such as object detection in drone images (e.g., pest or disease detection), object tracking (e.g. leaves
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of manufacturing processes. What you bring to the table Applicants should hold a PhD degree in the STEM areas and should also have strong English communication skills (both oral and writing) A strong background in
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, and image analysis tools and working on a computing cluster (HPC). Vivid Interest in interdisciplinary research, leading and working on projects with pathologists, medical experts, computer scientists
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | about 2 months ago
pursue an interdisciplinary approach, developing novel MRI and functional MRI (fMRI) acquisition methods, image processing methods and integrated biophysical models. The postdoc will work on MRI-based in
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balance. Lead data analysis efforts, applying advanced signal processing and statistical techniques to extract meaningful insights from electrophysiological and imaging data. Collaborate with
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intelligence methods for data analysis, including image data processing present results through reports and presentations to scientific and clinical audiences perform heterogeneous data analysis in the context
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to be filled is part of the second phase of the Collaborative Research Center 1463, "Integrated Design and Operation Methodology for Offshore Megastructures", funded by the German Research foundation (DFG
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SPM images of single molecules into their respective 3D molecular structures. Aim: Design, build, and test computer programs to interpret SPM images into 3D molecular structures. Fields: code
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(Computer Science, Medicine, immunology) Completed PhD studies in bioinformatics Experience with multivariant statistical methods, neural networks, coding Experience with imaging based data (Ideally mass spectrometry