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) Positions Postdoc Positions Application Deadline 31 May 2026 - 00:00 (Europe/Amsterdam) Country Luxembourg Type of Contract Temporary Job Status Part-time Hours Per Week 32 Offer Starting Date 1 Jun 2026 Is
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priorities, such as Sustainability, Digital transformation and Circular economy, through the execution of six Strategic Research Programs: Data Science for Tires, Tire as a Sensor, End-of-Life Tire
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Postdoc Positions Application Deadline 30 Apr 2026 - 00:00 (Europe/Luxembourg) Country Luxembourg Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 May 2026 Is the job
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) Positions Postdoc Positions Application Deadline 10 Apr 2026 - 01:00 (Europe/Luxembourg) Country Luxembourg Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 May 2026 Is
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Application Deadline 30 Apr 2026 - 00:00 (Europe/Luxembourg) Country Luxembourg Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 May 2026 Is the job funded through the EU
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Application Deadline 30 Apr 2026 - 00:00 (Europe/Luxembourg) Country Luxembourg Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date 1 May 2026 Is the job funded through the EU
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SD-26083 – POSTDOCTORAL RESEARCHER IN THE CHEMICAL VAPOR DEPOSITION OF METAL ORGANIC FRAMEWORKS F...
chemicals and fuels. The postdoctoral researcher will work on the chemical vapor deposition and engineering of metal organic frameworks for energy applications (WP4). Comprehensive characterization methods
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SD-26084 – POSTDOCTORAL RESEARCHER IN THE CHEMICAL VAPOR DEPOSITION OF COVALENT ORGANIC FRAMEWORK...
chemicals and fuels. The postdoctoral researcher will work on the chemical vapor deposition and engineering of covalent organic frameworks for energy applications (WP3). Comprehensive characterization methods
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28 Mar 2026 Job Information Organisation/Company University of Luxembourg Research Field Educational sciences » Education Researcher Profile Recognised Researcher (R2) Application Deadline 27 Mar
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deep learning. You will support the development of an improved forest RTM that can exploit LiDAR full-waveform data along with hyperspectral signatures. You will plan and carry out field campaigns in