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SD-26045-RESEARCHER IN ADVANCED PLASMA-ASSISTED DEPOSITION PROCESS DEVELOPMENT FOR CATALYTIC THIN...
photoelectrochemical applications. The project targets the synthesis of metal oxide-based thin film materials, with a strong emphasis on process design, optimization, and integration through the coupling
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control Correlation between process conditions, material properties, and ATOX resistance Contribution to the preparation of scientific reports, presentations and publications. Collaboration with academic
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optimisation Smart manufacturing and digital twins Industrial data spaces and interoperable systems Energy efficiency and process electrification Decarbonation strategies and circular production models You will
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to particle separation systems. · Optimize the design of particle-handling systems for the space environment, including the development of robust design criteria · Couple physics-based models and
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reports and documentation Is Your profile described below? Are you our future colleague? Apply now! Education Bachelor’s degree in Physics, Chemistry, Chemical Engineering, or a related field Experience and
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Valorization, Sustainable Materials for Non-Pneumatic Tires, Sustainable Materials for Next Generation of Pneumatic Tires, Structure-Process-Properties Relationships. Do you want to know more about LIST? Check
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Valorization, Sustainable Materials for Non-Pneumatic Tires, Sustainable Materials for Next Generation of Pneumatic Tires, Structure-Process-Properties Relationships. Do you want to know more about LIST? Check
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PhD in Material Science, Physics, Chemistry, or a related field. Experience and skills - 3 to 5 years of proven experience in an international R&D environment (public or private sector
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DC-26094– POSTDOC/DATA SCIENTIST – AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR...
abiotic resources. We integrate remotely sensed information with in-situ data, process-based models, and leverage satellite communication, IoT and machine learning technologies in order to provide evidence
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-to-macro link (e.g., fast prediction of effective properties or response indicators from micro-geometry and material inputs). Implement uncertainty quantification (UQ) for material and geometrical/process