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practical skills in the field of data science, especially. multimodal data analysis. Experience on image processing (especially on MRI data) via machine learning. Programming skills (e.g., Python
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within the University of Münster developing imaging methods allowing to visualize molecular processes inside organisms, tissues and cells. With the help of imaging, we perform cutting-edge research in
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own way, shaped by the sensory systems it uses to detect and interpret the environment. Nikolaev lab investigates how vertebrates sense and process environmental signals across scales, from molecules
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, especially. multimodal data analysis. Experience on image processing (especially on MRI data) via machine learning. Programming skills (e.g., Python) are required. Ability to communicate effectively in both
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scenarios. The research combines field experiments, AI-based analysis of museum specimens, and advanced climate modeling to provide process-based insights into the ecological and economic consequences
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project. The project will also employ a PhD student at Lund University, focusing on developing hybrid architectures for deep learning-based image processing and methods for multimodal medical data. We will
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the peculiar optical properties of nanostructures and state of the art instrumentation for optical imaging. The methodology will be explored within the context of drug-target interactions of importance to early
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competence in image analysis and data processing. What you will do Develop and optimize experimental workflows, including sample preparation under different environmental conditions. Design and conduct
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are united in our efforts to understand, explain and improve our world and the human condition. Your team SoftiMAX is a soft X-ray beamline focussed on spectro-microscopy and coherent imaging techniques, with
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(surgery, medicine, equine sports medicine and rehabilitation). There is also extensive specialist support in related disciplines including anaesthesia, dermatology, ophthalmology, diagnostic imaging