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structure and morphology to key device metrics. Supervise master’s and/or PhD students to a certain extent Possibility to engage in teaching at undergraduate/master’s level Contract terms The position is a
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dynamic team of excellent researchers and be supported by a supervisory team providing structured PhD mentoring. For more information please contact Prof. dr. Veerle Vandeginste, mail: veerle.vandeginste
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industrial partners. - Construction of electrochemical cells incorporating specially designed magnetic field sources, including quantitative measurement of local magnetic fields. - Implementation of tools
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the mechanistic and evolutionary drivers of patterns and processes across biological scales, from gene regulation to ecosystem structure and function, including the role of communities in biogeochemical cycles and
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settings. Very good self organization. Desirable Skills Very good knowledge of fluid–structure interaction (FSI). Good experience with digital twins, model updating, or structural dynamics. Understanding
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/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 All candidates and projects will have to undergo a check versus national
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Website https://www.eu4greenfielddata.eu/phd-positions-application/list-of-phds Requirements Research FieldAgricultural sciencesEducation LevelMaster Degree or equivalent Specific Requirements ● MSCA
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life cycle assessment based on BIM models. • Development and structuring of a database to support dynamic life cycle assessment. • Implementation of blockchain solutions for circular products, integrated
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aims to improve understanding of which children are most at risk of developing significant myopia and how their eye structure may influence the trajectory of progression. In addition, a complementary sub
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MD simulations to characterise dynamics in large multimeric drug target systems, and translating these into structural ensembles for large-scale VS campaigns. Developing and benchmarking computational