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Postdoctoral position in polymer technology focused on green polymer chemistry subject (PA2025/3322)
Description of the workplace This position will be part of the research group for Polymer Technology within the Centre for Analysis and Synthesis (CAS) at the Department of Chemistry, Faculty
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for energy and industrial applications. You will work experimentally with catalyst development, reactor testing, and process optimization with ASPEN. The research includes operating high-temperature systems
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team working on the analysis of multi-modal Earth Observation data for 3D mapping. The position is part of a collaborative, funded project exploring how 3D mapping layers such as building and canopy
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crucial role in controlling risk. The project aims to investigate how abrupt changes in dynamics, such as hidden Markov models or statistical jump models, affect the optimal decision-making process for
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analysis and the development of breeding systems. Species in use are model organisms such as Arabidopsis, Physcomitrella, tobacco, crops such as oilseed rape, basket willow (Salix), potato and cereals, and
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13 Nov 2025 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Mathematics » Applied mathematics Mathematics » Geometry Mathematics » Mathematical analysis
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quantitative methods, with a strong emphasis on GIS and spatial analysis. A central part of the work will be to trace the effectiveness of colonial health interventions across time and space, linking observed
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such as sick leave, parental leave, duties in labour unions, etc. Proven experience and ability to work with palaeogenomics techniques, including computer-based analysis methods. The applicant should have
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analysis, statistical modelling, linear mixed models, and machine learning among others. The position is well suited for an individual interested in quantitative genetics and data analysis that wishes
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. In this project, you will have the opportunity to combine molecular biological methods with field studies and data analysis to enhance preparedness against forest diseases and promote sustainable