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” strategies for extraction, fractionation, and enzymatic functionalization of lignin. Bio-assembly – synthesizing new biobased polyesters from lignocellulosic feedstocks. Re-assembly – polymerizing
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(including tribology and pyrotechnic devices), materials (including related manufacturing and assembly processes, space environmental effects, cleanliness and contamination control) and associated
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– polymerizing the resulting biobased monomers into fully biobased polyesters. Job description: The research group “Development of Processes and Products of low Environmental Impact (BIAPYP ) at UCM is looking
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for sustainable and energy-efficient manufacturing Bio/polymeric materials synthesis, modeling, and characterization Computational modeling, AI/ML & data sciences for advanced materials discovery and process
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for sustainable and energy-efficient manufacturing Bio/polymeric materials synthesis, modeling, and characterization Computational modeling, AI/ML & data sciences for advanced materials discovery and process
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for sustainable and energy-efficient manufacturing Bio/polymeric materials synthesis, modeling, and characterization Computational modeling, AI/ML & data sciences for advanced materials discovery and process
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– polymerizing the resulting biobased monomers into fully biobased polyesters. Job description: The PhD research will focus on the intensification and upscaling of cascade enzymatic reactions by using the kinetic
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applications in programmable matter and morphing structures. While considerable progress has been made in controlling both the spatial and temporal dimensions of matter, the crucial step is translating
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and polymeric materials, novel catalytic process, process control, and process systems engineering. Your experience and ambitions We are looking for highly motivated candidates with: Excellent PhD
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digitalization of these. Our core competences include unit operations and processes in chemical engineering, hydro- and pyro-metallurgy, catalyst and polymeric materials, novel catalytic process, process control