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organic–inorganic hybrid materials for optical or biomedical printing. Experience with biocompatible hydrogel formulations (e.g., GelMA, PEGDA) and knowledge of ISO 10993 or USP Class VI standards
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from clinical specimens; Develop, optimize, and apply DIA- and PRM-based proteomics methods; Perform quantitative data analysis, normalization, quality control, and statistical interpretation
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optimal decision-making. This post-doctoral researcher position is part of TUNED (TUnnelontwerp en engineering voor een geologische eindberging in kleilagen in NEDerland), a 4-year research project bringing
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training of the assigned faculty supervisor. This role requires a solid foundation of discipline‑specific knowledge in plant physiology, CT imaging, and deep learning/AI, and the ability to generate
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identify the optimal foaming process parameters and study the effects of additives such as starch, silica and calcium carbonate on thermal, mechanical and water-related properties. They will also be
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of navigating extremely large compositional spaces while simultaneously optimizing multiple target properties such as optical performance, stability, and sustainability. Who we are looking for We seek a highly
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, thermodynamics, and process optimization Experience with analytical and characterization techniques such as XRD, SEM-EDS/EPMA, ICP OES/MS, TGA/DSC, heating microscopy or related methods Knowledge of thermodynamic
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
perspectives, foster a stimulating research environment and advance knowledge within their fields. Postdocs are crucial members of our scientific research workforce, contributors to our research outputs and an
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technologies for remote detection. Specifically, this position involves research on generation of widely tunable GHz-THz femtosecond pulse bursts to optimize laser-matter coupling, plasma generation, and
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, graph theory, graph-signal processing, and convex/non-convex optimization. Furthermore, our activities are experimentally driven and supported by the COMMLab, the 6GSPACE Lab, the HybridNetLab, the QCILab