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unprecedented image quality and quantitative performance. As part of a multidisciplinary team spanning optics, acoustics, electronics, computation, engineering, physics, medicine, and clinical translation, you
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to analyze complex image and real-world datasets and identify clinically and psychologically relevant patterns Lead independent scientific research projects covering study design, data processing, statistical
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, commission hardware and software, and ensure knowledge transfer for routine operation About you: PhD in Physics, Optics, Laser Science, or a closely related engineering field Demonstrated experience with laser
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an advantage Strong background in machine learning for image analysis and computer vision, ideally involving microscopy, time-lapse imaging, or other high-dimensional scientific imaging modalities
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 3 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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the recently awarded ERC Consolidator Grant project “Engineering Multivalency for Superselective Recognition of Pathogen Targets” (EngToTarget), offering a unique opportunity to contribute to emerging approaches
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at the interface of dentistry and medical microbiology. The goal is to establish and expand an oral biofilm engineering platform, focusing on innovative in vitro and ex vivo models (e.g. dynamic
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of miniaturized imaging technologies. Your Profile: The successful applicant must have the following: • Ph.D. in natural sciences, electrical engineering, physics, optics, medical technology, biomedical computing
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invasive in blood biomarker detection. In collaboration with our partners at the Karlsruhe Institute of Technology (KIT), you will develop data analysis pipelines as well as signal processing and inference
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, quantitative characterization, and machine learning-enabled decision-making. The position is associated with the recently awarded ERC Consolidator Grant project “Engineering Multivalency for Superselective