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Track career path system. Successful performance of the task requires strong mastery of quantitative methods. Expertise in demanding statistical modelling and experience in processing, analysing and
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periods of time in the right conditions, may also act as windows to the past. In this work we will compare ancient and modern bacteria with various methods. By integrating the findings with archaeological
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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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understanding of modern bioscience research technologies Good communication skills in English and strong interpersonal and networking skills Desirable qualifications Academic PhD degree in biosciences Proven work
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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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diverse backgrounds to apply for our positions. YOUR PROFILE PhD in statistics, mathematics, biology, evolutionary anthropology or a related field Strong background in statistical and mathematical modelling
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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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collaborate with the Finnish Defence Forces International Centre and Finnish National Defence University. You will use video-based methods (conversation analysis, interaction analysis and/or ethnography
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research needs. You are eager to work with new topics and methods, even out of your comfort zone to achieve the set ambitious goals. With VTT, you’ll enjoy: Science with an impact. At VTT, we seek to solve