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                aims to train experts and leaders in the broad field of immunology who will advance research to address the needs in the prevention and treatment of immune-mediated diseases. Its goals are breakthrough 
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                ) COFUND programme. Immune-related diseases, such as infections, atherosclerosis, and cancer, are increasing in prevalence and pose major societal/economic challenges. IMMUFELLOW aims to train experts and 
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                environment with a variety of development opportunities and benefits. The annual gross salary range will be approx. €45,000 – €51,000, depending on the appointee’s qualifications and experience. In addition 
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                to exploring host–virus interactions, and their impact on human health and disease. The position comprises wet-lab experiments, advanced computational analyses, and development of innovative methodologies 
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                air quality modelling. The project is funded by the Jane and Aatos Erkko Foundation. Research tasks include Developing future emission scenarios for various urban environments; Updating and applying 
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                , automated reaction mechanism generators, and high-resolution local scale air quality modelling. The project is funded by the Jane and Aatos Erkko Foundation. Research tasks include Developing future emission 
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                . In hydrology, the research includes studies at our research stations and supersites in Finland with a unique and developing infrastructure. We are active in interdisciplinary studies in Finland and 
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                to develop novel electrochemical biosensing or microfluidic chip for healthcare diagnostics. Feixiong holds a doctoral degree in Life Engineering and the position of Academy Research Fellow (2023-2027 
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                2025. The aim of the project is to develop and deploy a terrestrial network of quantum gravimeters in Europe. GEOGEO will procure one of the quantum gravimeters for the project. The quantum gravimeters 
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                research profile in inverse problems and computational mathematics. About the job This project focuses on developing advanced methods for uncertainty quantification in inverse problems, i.e., mathematical