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learning – and we are growing and seeking: Postdoc / PhD Student / Entrepreneurial Postdocs to join the Institute and its wider research community. We welcome applications across all areas of machine
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description A Doctoral Researcher (PhD student) in Machine Learning for Electron–Phonon Interactions and Wannier-Based
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“Understanding how nature reshapes human sense of time to foster well-being and sustainable futures” (NATURETIME). The project aims to understand how nature experiences influence human time perception and how time
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human time perception and how time perception influences human behaviours towards nature. For this, the project will use virtual-reality experiments to understand how specific landscape features and
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frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems
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will join a research group working on longitudinal models of multiple chronic diseases across the life course. The postdoctoral researcher will contribute to building and evaluating machine learning
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/ Bioinformatician to join our collaborative, multidisciplinary research team applying single-cell methodologies to study treatment resistance in ovarian cancer. Vähärautio lab (https://vaharautiolab.org
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particular emphasis on integrating satellite LiDAR and UAV data with field observations. Applying statistical modelling, automated machine learning approaches, and artificial intelligence for the analysis and
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collaborate closely with other animal science researchers and teachers within the faculty, as well as with external stakeholders in the field. The appointee will teach and supervise Bachelor’s and Master’s
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The University of Helsinki (https://www.helsinki.fi/en ), founded in 1640, is one of the world’s leading universities for multidisciplinary research. The university has an international academic