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Statistics, Mathematics or Computer Science (or a related field) with an emphasis on applied mathematics/statistics/machine-learning. Prior experience in the probabilistic machine-learning, neural-networks
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machine-learning, neural-networks, statistical inference and data modelling is a bonus. Prior experience in some computer programming language is expected (Python, Julia, R, Matlab etc). Excellent
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of computer science represented at the department (algorithms, networks, software engineering, AI, data science) Experience of working in highly interdisciplinary environments Experience in designing
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, networks, software engineering, AI, data science) Experience of working in highly interdisciplinary environments Experience in designing and enacting (interdisciplinary) teaching (on any level, e.g. course
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opportunities to shape your research trajectory, including support for publishing, networking and interdisciplinary collaboration. The position is located within the sociology discipline at the Faculty of Social
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quality publications within the FIBRE-MATCH project Encouragement to develop own projects with support to transition to an independent career National and international networking as part of a
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), including both laboratory methods and data analysis pipelines, will be considered an asset. Knowledge in bioinformatics/data analysis, and ability to handle complex datasets, will be considered an asset
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climate policy. It performs multiscale research from molecular to global scale and focuses on climate change, air quality, biogeochemical cycles and ecosystem processes. INAR has INAR Finland Network
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, geology, and biodiversity, and form part of the international network of natural history repositories. The Finnish Museum of Natural History has five units: Botany and Mycology, Zoology, Earth Sciences
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quality, biogeochemical cycles and ecosystem processes. INAR has INAR Finland Network partners in Finnish Meteorological Institute, University of Eastern 31Finland and Tampere University of Technology