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Posting Title Postdoctoral Researcher – Reaction Engineering for Biorefining . Location CO - Golden . Position Type Postdoc (Fixed Term) . Hours Per Week 40 . Working at NLR NLR is located
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researchers. Start of employment: June 1st, 2026, or as soon as possible thereafter. We offer an exciting postdoc position in a dynamic, informal, high-performing environment with dedicated, friendly colleagues
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 29 days ago
one of the leading public research institutions in the country. UNC-Chapel Hill offers postdocs comprehensive medical and vision coverage , paid leave, and benefits and services that support
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. The Postdoc blends hands-on laboratory work, bioinformatic analysis, academic writing, and meaningful collaboration with students, researchers, iwi, and partner organisations. You’ll contribute to research
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, please visit: https://qbm.genzentrum.lmu.de/application/ Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description At the Faculty of Engineering and Science, AAU ENERGY, a position as Postdoc
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panels, ensuring proper fluorophore selection and minimal spectral overlap. 2. Training & User Support Empowering Researchers: Train new PhD students and Postdocs on autonomous analyser use, focusing
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for this position. Job Summary This is an entry-level position with significant time working at the laboratory bench. The Visiting Research Specialist will assist postdocs and PIs with a project aimed at discovering
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strong contributor to DTU Energy’s vision of demonstrating world-leading cross-disciplinary research through innovative development of sustainable materials solutions for the green transition, and you will
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covers areas such as pure mathematics, applied mathematics, mathematical statistics, as well as computer vision and machine learning. The department has approximately 150 employees, including 21 full