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the contexts of sustainability transitions governance and urban transformations. ( https://nodus.aalto.fi ) We are now looking for a Postdoctoral researcher in complexity-aligned innovation and institutional
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, mathematics, or physics , and an outstanding research track record as demonstrated by publications in leading conferences and journals. It is sufficient that you will receive your doctoral degree before
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science, or a Ph.D. with a computational profile (computer science, engineering, applied mathematics, or natural science) and active experience with interdisciplinary collaborations with the previous fields
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The QD group is looking for a highly motivated Postdoctoral Researcher to work on advances in controlling the emission properties of organic light-emitting diodes using nanoparticles embedded within the device. The work combines advanced nanofabrication methods, such as electron-beam...
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4 Jul 2026 Job Information Organisation/Company AALTO UNIVERSITY Research Field Computer science Mathematics Physics Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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and oral communication skills in English Motivation for working in the laboratory, carrying out experiments, and data analysis Experience in one of the following fields is required from the chosen
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/computational modelling methods (e.g. discrete element method or finite element analysis) Strong programming skills Good written and verbal communication skills in English Considered an advantage: Experience with
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degree in computational biology, applied mathematics, or applied computer science with applications in the areas of interest of the project (as listed above) will also be considered. Open positions have
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physics, mathematics, computer science, or other relevant field. have sufficient background in quantum computing to conduct research on the topic. have a demonstrated ability for independent and
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refine LCA models to assess the environmental impacts of bio-based products and systems using software tools such as OpenLCA. Analyze complex datasets to identify key areas for improvement in environmental