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sheet fluorescence microscopy Image analysis workflows Immunofluorescence optimization and protocol development About the Position This is a full-time, fixed-term position for two years, in accordance
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will collaborate with leading scientists and industrial partners to design and optimize next-generation solvent systems for energy-efficient carbon capture processes. Your overall focus will be
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Project 2026, where the research associate will focus on engineering encapsulin protein cages in cyanobacteria, with optimal carbon fixing designs to be implemented in plants through collaboration with
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 21 hours ago
Vision is to use scientific discovery to ensure optimal health through individualized nutrition. Everyone who works at the NRI supports this hopeful vision. Working at the NRI means doing good
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At the Faculty of Engineering and Science, Department of Materials and Production one or more Postdoc positions in the area of Optimization and Algorithm Design are open for appointment from April
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, advanced computational techniques, and data science. The project involves: Materials Development Platform that will enable redox molecule optimization via predictive simulations, database management, and AI
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synthetic organic chemistry, including reaction design, optimization, purification, and structural characterization. Strong command of spectroscopic methods (H/C NMR, mass spectrometry, chromatography, etc
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prototype database of polymorphous materials. Contribute to the development of a Fortran-based HPC code. Implement routines for temperature-dependent optical and transport properties. Optimize workflows
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Engineering, and related fields, with a view to develop and optimize 3D bioprinted models, cell selection and expansion for bone models, biological and mechanical characterization of bioprinted tissues
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key role in designing and optimizing imaging devices, integrating hardware and software, and collaborating with a multidisciplinary team of clinicians, engineers, and basic scientists. Candidates with