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to work at the forefront of multidisciplinary science, integrating mathematical modelling and data science with diverse disciplines, including ecology, plant physiology, and molecular biology. Your research
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on addressing the complexity of the device-software-application-data design space, enabling systematic and efficient exploration using modeling and simulation tools.## Key Responsibilities- Identify and
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description Specifically, this project combines high-throughput experimentation, synthesis of model catalysts, operando characterization, and molecular modelling to identify novel catalyst families and develop
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coatings and ionomers. Using advanced grafting techniques, you will explore a wide range of molecular groups to precisely tailor liquid repellency and proton conductivity on conductive surfaces. Alongside
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to act first and evaluate much later. This PhD project closes this gap by: integrating the porous-media solver of DuMux, the IWS-developed simulator, with its new shallow-water module recently created in
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these materials into high-performance fibers and functional materials. By manipulating molecular interactions through chemical and physical methods, we tailor the structural and mechanical properties of bio-based
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in the simulations with the goal of minimising manufacturing variability and defect generation, i.e. robust manufacturing. The outputs of the work will directly influence the development of high
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performance. Applicants should possess a Ph.D. degree in marine ecology, molecular ecology and taxonomy, bivalve/shellfish biology, or other marine biology related disciplines. They should have a demonstrated
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with and develop custom made techniques coupled to high resolving mass spectrometry for molecular characterization of biological samples, using tandem mass spectrometry and reactive chemistry
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, microbiology or mycology. Familiarity with mycology and the Nordic forest ecosystems is desired. Previous experience with ecology, molecular biology work, bioinformatic and nature conservation are meritorious