Job Reference: 506_24_LS_LS_R2Position: Postdoctoral Researcher - AI/ML in specific research lines in Life Sciences (R2) - AI4SClosing Date: Monday, 30 September, 2024About BSC: The 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, 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 are particularly interested in the strengths and lived experiences of women and underrepresented groups to help us avoid perpetuating biases and oversights in science and IT research. In instances of equal merit, the incorporation of the under-represented sex will be favoured. 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 Mission: Led by Professor Alfonso Valencia, the Life Sciences department seeks to lead the development of Personalized Medicine, covering the full complexity of biomedicine from molecular/atomic to physiological levels and addressing current and future challenges. The Life Sciences Department comprises 174 researchers distributed in 6 research groups and 6 support units, providing transversal technical expertise in specific areas and projects.The Department leads the computational aspects of the Personalised Medicine movement at the European level developing technologies to interpret omic and biomedical information, including genome analysis of humans and microbiome, enzyme and drug design, and electronic medical record analysis and imaging with AI/ML methods. The next great advances in medicine, including AI/ML and simulations toward 'human digital twins', will require powerful and specialised co-designed software/hardware systems.The Department leads key initiatives uniquely blending science and engineering to build strategic alliances, secure diverse funding sources, and create sustainable HPC and HPDA infrastructures to tackle these complex problems.#J-18808-Ljbffr