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curious to deliver work that matters, your journey starts here! Innovation. Interdisciplinary collaboration. Complex problem solving. In Carnegie Mellon University’s Department of Mechanical Engineering
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Apply now Job no:535386 Work type:Faculty - Pro Tempore Location:Eugene, OR Categories:Architecture/Art/Design, Research/Scientific/Grants, Planning/Project Management, Geography Department: CAS
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. The postdoctoral project will be focused on the design of optimized generation schemes for tailor-made electron beam and radiation sources in laser-produced plasmas. As a postdoctoral scientist, you are employed by
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the design of selective ligands, and support experimental validation efforts. Specific responsibilities include: Performing conformational sampling and binding free energy estimation of peptide–metal complexes
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are gaining significant interest for sustainable seawater desalination. This postdoctoral position is part of a research project aiming to design, optimize, and evaluate electrochemical systems [electrodialysis
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Position Description: We’re looking for those individuals—the creative thinkers and innovation seekers—who are content with nothing short of changing the world. Discover the endless opportunities
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iNANO at Aarhus University is seeking a postdoctoral fellow for the Novo Nordisk Foundation CO2 R...
acetogenic microorganisms (postdoc microbiology); develop and test up-scaled microbial electrosynthesis reactors involving advanced electrochemistry, reactor design, and scaling approaches (postdoc reactor
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senior researcher in the areas of soft materials and polymer physics. The successful candidate will develop strategies to design, synthesize, and characterize the properties of soft materials using
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, thermal management, and energy conversion. We seek candidates with strong expertise in building and conducting ultrafast time-resolved optical experiments. Key skills include the ability to design, assemble
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. The primary objective is to design robust and efficient planning solutions—integrated within a digital twin—that account for the uncertainties and variability inherent in industrial processes. Machine learning