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-field device, in close collaboration with other consortium researchers developing and executing applications on low-field MRI collaborating with national and international research institutions and
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for internationally recruited employees with their transition to work and life in Finland. For more on the University of Helsinki as an employer, please see https://www.helsinki.fi/en/about-us/careers
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skilled and inspiring research team. You will participate in the multidisciplinary and international InFLAMES Flagship, comprising approximately 60 research groups. You will also have access to training and
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examines transformations in humanitarian systems amid the global withdrawal of international aid, focusing on humanitarian contexts in Kenya and transnational diaspora networks in Canada. ABOUT THE PROJECT
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including high-impact scientific publishing, and collaborative research with international teams. Who we are looking for Requirements MSc degree in Computer Science, Data Science, Machine Learning, or a
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language of MePhiS is English, and excellent written and oral communication skills in English are required. When assessing applicants’ qualifications, attention will be paid to international academic
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researchers according to the guidelines set forth in the European Charter for Researchers. The university offers good support and orientation for international hires. Please learn more about the Finnish culture
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characterization Writing publications for peer-reviewed high level scientific journals Presenting research findings at international conferences and seminars Research visits with European partner universities and
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, international research university, with about 4000 employees who produce new knowledge based on high-standards research and provide research based education to build a more sustainable, smarter, and more humane
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Researcher to join a multidisciplinary systems medicine research environment at the University of Turku. The position is embedded in an internationally recognized team working at the forefront of multi-omics