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Temporary contract | Up to 24 months| Belval Are you passionate about research? So are we! Come and join us The Luxembourg Institute of Science and Technology (LIST) is a leading Research and
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SD-26085 POSTDOCTORAL RESEARCHER IN THE OXIDATIVE CHEMICAL VAPOR DEPOSITION OF FUNCTIONAL BUILDIN...
in December 2027). Is Your profile described below? Are you our future colleague? Apply now! Education · The candidate should have a PhD degree in Chemistry, Chemical Engineering, Materials
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. The applicant should have a PhD in materials science, chemistry, physics, chemical engineering, or a related field. The following qualifications are considered particularly meritorious: experience in processing
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, and measure success. Basic Qualifications: A PhD in materials science and engineering, mechanical engineering, aerospace engineering, polymer science, or a related discipline completed within the last
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, This opportunity allows a postdoctoral researcher to work on an industrially facing project, applying artificial intelligence (AI) methods to better inform processing to obtain high-quality engineering polymers from
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engineering polymers from recycled plastic feedstock. You will utilise pre-existing modern metrological methods such as MT 2.0/VFM to obtain rich datasets from a relatively sparse set of tests on recycled
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publications, and support coordination and data management within the research consortium. Your Profile Completed PhD in chemistry, materials science, or a related field with a focus on electrochemistry or
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Minimum Requirements PhD in the area of mechanical engineering or closely related. Desired Qualifications Outstanding candidates should receive solid training in solid mechanics and polymer science. In
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» Materials engineeringEducation LevelPhD or equivalent Skills/Qualifications The candidate must hold a PhD in Materials Science, process engineering or chemistry with knowledge in biosourced materials
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
computational chemistry techniques and data-driven approaches to optimize the properties of novel polymer-based materials. Key duties The successful candidate is expected to: Build and evaluate chemical databases