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regions of the world, and at the same time impact the climate positively utilizing CO2 as raw material. To be launched into scaled solutions, the technology needs to be optimized through leveraging digital
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, please view https://www.ntu.edu.sg/newri . Key Responsibilities: Optimization of membrane fabrication parameters for targeted separation performance Design, synthesize and modification of polymeric
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). The ideal candidate will have: A PhD in environmental science or closely related discipline by the start date of the appointment Broad understanding of eco-evolutionary optimality concepts and modelling
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to design, optimize, and scale-up of electrolyzer systems to use for recycling spent battery materials. Key Responsibilities Design & Development • Lead the design and scaleup our electrolyser systems
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skills and experience in written, spoken, and collaborative work in English. What we offer: A career path optimized for transition to industry. You will be affiliated with the dynamic Aalto Scientific
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superstructures. Optimize NPL ligand shell structure in collaboration with TU Dresden to improve optical performance of NPL superstructures. Extend existing single-particle photophysical models of NPLs
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the areas of Artificial Intelligence (AI) for materials science, with an emphasis on structure-property-relationships, materials optimization, materials under extreme conditions, and generative AI. Candidates
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coatings using techniques like electrodeposition and dip coating. •Develop and characterize porous TiO₂ and metal oxide thin films. •Establish and optimize 3D in vitro skin models for biological testing
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polysaccharides. 2) Preliminary tests, evaluation of results and optimization of the cellulose and lignin production process and derived products (including nanomaterials). 3) Implementation, monitoring and control
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of research, in particular the design and development of multisensor acquisition and fusion architectures, applied artificial intelligence and optimization techniques in sectors such as energy, air traffic