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Position: Research and Development Specialist in AI/Machine Learning for Medical Image Computing
Institution: University of Luxembourg
Location: Luxembourg City, Luxembourg
Duties: The Imaging AI group develops applied AI research focused on biomedical signal analysis and medical image computing. The general aim of the group is translating algorithms from fundamental AI and imaging research closer to a concrete biomedical application. A current main focus is on developing more robust AI models for applied image computing, for example by employing domain adaptation, joint embedding architectures, or similar techniques. The specific project is a close collaboration with the Dept. of Behavioural and Cognitive Sciences and revolves around multi-modal data fusing/joint embedding architectures for imaging and cognitive markers, in particular for pain assessment
Requirements: At least a Master’s degree in Computer Science or related discipline; Interest in applied machine learning, including but not limited to deep learning; Interest in image analysis/computer vision and pattern recognition, including but not limited to biomedical applications, in particular for neuroscience; Experience with recent deep learning frameworks (e.g. Pytorch, MONAI); Experience with programming languages (Python, MATLAB)
   
Text: Research and Development Specialist in AI/Machine Learning for Medical Image Computing The Imaging AI group develops applied AI research focused on biomedical signal analysis and medical image computing. The general aim of the group is translating algorithms from fundamental AI and imaging research closer to a concrete biomedical application. A current main focus is on developing more robust AI models for applied image computing, for example by employing domain adaptation, joint embedding architectures, or similar techniques. The specific project is a close collaboration with the Dept. of Behavioural and Cognitive Sciences and revolves around multi-modal data fusing/joint embedding architectures for imaging and cognitive markers, in particular for pain assessment At least a Master’s degree in Computer Science or related discipline; Interest in applied machine learning, including but not limited to deep learning; Interest in image analysis/computer vision and pattern recognition, including but not limited to biomedical applications, in particular for neuroscience; Experience with recent deep learning frameworks (e.g. Pytorch, MONAI); Experience with programming languages (Python, MATLAB)
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