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hold a doctoral degree in demography, sociology, health sciences, data sciences, statistics, economics, or other relevant field, have strong quantitative methods skills and an excellent command
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relating to teaching and learning, as well as experience with a broad range of research methods and the ability to develop them. Qualification requirements and appointment criteria Associate and assistant
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artificial intelligence/geospatial AI, methods of machine learning and deep learning development of computer vision applications and image recognition methods analysis and production of big data, including
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research environment combining humanities-based manuscript studies with natural-scientific and computational methods. The doctoral researcher will be supervised by Dr Tuuli Kasso, Dr Jaakko Tahkokallio, and
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, urban planning and education. We are united by a commitment to understanding and transforming human–nature relationships through innovative concepts, participatory and co-creative methods, and solutions
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of the doctoral researcher will be approximately 2600 euros/month and will rise gradually as the PhD work progresses, based on the University of Helsinki salary scheme. The position will include a six-month trial
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) Reproducible research software (Git, workflow tools, documented pipelines; HPC/cluster use) Track B: High-throughput cell-phenotyping & cell sorting (choose a combination) Flow cytometry / spectral cytometry