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regulation, and/or genome editing technologies. · Proficiency with experimental design, data analysis, and interpretation of complex biological datasets. · Ability to work independently while
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Postdoctoral Research Associate in Sum-Frequency Generation Microscopy of Biomolecular Self-Assembly
focusses on using nonlinear light-matter interactions to probe the complex structure within 2D assemblies of biomolecules. The group currently invites applications for an open position as a Postdoctoral
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, the college has prepared the next generation of public and nonprofit leaders and equipped practitioners with the knowledge and training to address complex challenges. The Glenn College is ranked 16th among our
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-quality methods for complex, secure, and safety-critical systems. It leads a range of national and European projects and maintains strong partnerships with industry. You will benefit primarily from
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; Implement agronomic assay to evaluate the stability of clay-humic complexes under culture conditions and how an intense of microbial activity contributes into the process of stabilization of organic matter
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environmental studies - to make novel insights and to tackle the full complexity of human health. We seek applicants to join any of the several interdisciplinary research projects within Princeton Precision
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complex membrane structures under diverse physical stimuli. This work is expected to advance fundamental understanding of cellular organelles, with potential applications across engineering and medicine
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communication skills and a demonstrated ability to communicate and interact with a diverse range of stakeholders and students. Demonstrated experience in supporting complex research projects, including ability
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these bioinformatic experiments. Access to a high-performance computer will be provided. The candidate must be capable of generating complex molecular compound models in silico and using current molecular dynamic
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interaction, adapt to new tasks, and generalize across environments. Dexterous Manipulation – Advancing robotic grasping, in-hand manipulation, and adaptable object handling in complex real-world scenarios