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for Sensing, Imaging and Modelling, FAME, is a multidisciplinary consortium that develops methods of applied mathematics and physics for the benefit of society, including medical imaging, industrial process
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by access to 300-kV cryo-electron microscopes for data collection at international facilities. About you you are ambitious, goal-oriented, collegial and motivated to tackle challenging new projects PhD
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possibility for a four-year extension based upon external mid-term evaluation. The successful candidate will have an excellent track-record of research performance, including a PhD or equivalent degree along
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/language technology and/or data science. Host institution: University of Helsinki (Finland) PhD: PhD in Digital Humanities / Data Science Main supervisor: prof. Eetu Mäkelä (University of Helsinki, Faculty
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regain their ability to grow. Mechanistic understanding of the tree resilience is still poorly understood, and this project aims to fill that knowledge gap. We will use controlled conditions experiments
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, linguistics, and history/cultural heritage. Active contribution to research on public discourse, conceptual change, and knowledge production. Use of computational approaches for the analysis of historical
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research and includes international mobility and intersectoral secondments to maximize the career potential of all DCs. More information on the project: www.sunsetproject.eu. PhD project description
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, and opportunities for professional development. The University of Helsinki welcomes applicants from a variety of gender identities, linguistic and cultural backgrounds. How to apply Please apply with; a