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of regulatory elements in controlling colour variation, and the maintenance of colour polymorphisms by balancing selection. The specific goals of the PhD project can be influenced by the candidate but could
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-scale simulation, signal and image processing, time-series analysis, optimization and control, computational inverse problems, and artificial intelligence methodologies. The field of teaching is
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-depth understanding of data and related algorithms, data analysis, and machine learning. Our cross-cutting theme is machine learning-enhanced computational engineering. You’ll have an excellent
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to data collection, analysis, and reporting. The aim of the project is to better understand how young people recognize, interpret, and respond to contemporary propaganda both online and offline. At the same
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methods. Experience with data collection and analysis tools. Familiarity with IPR, commercialization, or innovation projects in research contexts. Experience in academic writing and academic practices. What
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position. The task is related to hydrological modelling and data analysis, focusing on climate change impacts on managed boreal ecosystems. This postdoc position is part of Postdoctoral Programme for
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learn (alongside disciplinary skills) broadly useful meta-skills of interdisciplinary contextualisation, analysis, problem-solving and critical thinking. The recruit will be responsible for setting up
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learn (alongside disciplinary skills) broadly useful meta-skills of interdisciplinary contextualisation, analysis, problem-solving and critical thinking. The recruit will be responsible for setting up
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. We are looking for Research Scientist to the two or more of the following technologies and knowledge base: SQUID, Superconductivity, tunnel junctions, and metal-semiconductor interferences Design
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total sustainability of wood utilisation. Active communication and close collaboration with Finnish wood processing companies are key elements of the work. The position will require excellent problem