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apply machine learning and AI-based models to uncover key regulatory networks underlying inflammation, aging, and regeneration Collaborate closely with experimental biologists, clinicians, and
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gene regulatory networks driving aging and inflammation using cutting-edge molecular and genomic technologies. The project integrates single-cell and spatial transcriptomics, epigenome and whole-genome
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technologies and data analysis as well as research management, oral and written communication, and networking. Participation to international conferences to facilitate successful integration into the green
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communities in the field of proton exchange membrane electrolyzer catalyst material development, characterization, production and recycling, and contribute to research within applied science. The main tasks
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including research management, communication, networking, writing of manuscripts etc. Mentoring and career development in a network of national and international collaborators Research exchange to
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partnerships with clinicians. Together, these initiatives provide ample opportunities for the recruited postdoc to build networks, establish collaborations, and advance their career development. To learn more
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transformation, algorithm engineering. Applications of these areas to systems chemistry, systems biology, metabolic networks, or microbial communities is an advantage but not a must. Solid competences in
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contributing to cutting-edge research in a dynamic and ambitious young research group, supported by the POLIMA Center and its extensive network of international collaborators. POLIMA is a Center of Excellence
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(written and spoken). Conduct independent research. Have high self-motivation to learn. Be able to work well and communicate expert knowledge in an interdisciplinary team. Have a strong sense of