Postdoctoral Researcher Applying Deep Learning To Healthcare (R2) - Ai4S

.Job Reference542_24_LS_LS_R2PositionPostdoctoral Researcher Applying Deep learning to Healthcare (R2) - AI4SClosing DateMonday, 30 September, 2024Reference: 542_24_LS_LS_R2Job title: Postdoctoral Researcher Applying Deep learning to Healthcare (R2) - AI4SAbout BSCThe Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now hosting entity for EuroHPC JU, the Joint Undertaking that leads large-scale investments and HPC provision in Europe. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries.We promote Equity, Diversity and Inclusion, fostering an environment where each and every one of us is appreciated for who we are, regardless of our differences.If you consider that you do not meet all the requirements, we encourage you to continue applying for the job offer. We value diversity of experiences and skills, and you could bring unique perspectives to our team.Context And MissionThe field of medical imaging is rapidly evolving, with several key trends emerging in 2024. Growth in Advanced Imaging Techniques, Rise of Hyperspectral and Molecular Imaging, Integration of AI and Machine Learning, Focus on Patient-Centric Imaging and Emerging Technologies are just a few of the last trends in Medical Imaging. New technologies are being developed to improve imaging quality and efficiency, including 3D imaging and other innovative modalities. Deep /Machine learning technology indicates a significant transformation in how medical imaging is conducted, with a strong emphasis on technology, patient care, and improved diagnostic capabilities. Deep learning is a cutting-edge branch of artificial intelligence that empowers machines to learn from vast datasets and make intelligent decisions. By mimicking the structure and function of the human brain through artificial neural networks, deep learning algorithms excel at tasks such as image recognition, speech synthesis, and language translation.The Life Sciences department will incorporate a new research line to harness the potential of deep learning to drive innovation and solve complex problems across various domains using advanced Artificial Intelligence methods (Medical Imaging, Deep/Machine learning, Computer Vision, etc.). This new group is committed to boost the power of advanced imaging technologies to improve healthcare outcomes