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machine learning A detailed picture of the structure of wood cell walls is highly desired to accelerate the development of new, sustainable applications from this abundant renewable raw material. We
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is located in Espoo, capital area of Finland. PhD student position in Computational Fluid Dynamics (CFD) related to Large eddy simulation (LES) of compressible two-phase flows The work will be
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, Sociology, Psychology, Environmental Sciences, Organizational Studies, Policy Studies, Design Studies, Computer Sciences, Learning Sciences Knowledge of qualitative or quantitative methods used in
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four thematic areas: Intelligent automation of software specification, implementation, and validation. The PhD project investigates AI-assisted methods for improving software development, based
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that allows us to compare the trends across areas using machine learning algorithms. The derived results can then be used in assessing future changes in reference areas, by using past trends from "learning
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Researcher/PhD student for a project investigating the stability of converter-dominated power transmission systems. You will assess how the dynamics, stability and characteristics of a wide power transmission
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obtained PhD or doctoral degree in chemical engineering, environmental engineering, pulp and paper technology, biorefining, forest products, or similar Excellent written and oral communication skills in
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better if you have worked with polymers. Applicants with a strong motivation to learn new things will also be considered, even if from a different background. What we offer We offer a highly
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ago. The person must be able to teach and advise students in English. Finnish and Swedish language skills are considered an asset. Language skills The applicants are required to have fluent spoken and