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research projects that focus on cutting-edge advancements in composite materials. These projects encompass composites simulation, processing, manufacturing, recycling, and life cycle analysis, with
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the development and design of flow chemical processes and reactors for biomass conversion, Configure computational models to analyze and predict the flow processes for intelligent management and upgrading
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at the forefront of plasma processing and surface engineering. Key Responsibilities: Lead the design, optimization, and scale-up of PVD and CVD plasma-based processes, with an emphasis on high-performance composite
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Responsibilities: Operate and optimize PVD and CVD plasma-based processes for advanced thin film deposition. Perform oxide and nitride composite thin film deposition, followed by in-depth materials characterization
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the knowledge base for decision making through six key activities: assimilating rich Norwegian datasets into process-based models novel modelling of forest disturbances more robust modelling of soil accumulation
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Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological
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on the development of the Perovskite Evaporation Process for Various Perovskite Compositions The candidate would be involved in researching, designing, and optimizing the evaporation process for different types
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that come in touch with human skin can serve as vehicles for transport of diseases and their spread throughout human communities. This infection process can be mitigated by surfaces on which microbes cannot
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that come in touch with human skin can serve as vehicles for transport of diseases and their spread throughout human communities. This infection process can be mitigated by surfaces on which microbes cannot
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across Europe. The aim of NorSink is to improve the knowledge base for decision making through six key activities: assimilating rich Norwegian datasets into process-based models novel modelling of forest