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Field
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of reversible polymer networks can be exploited for advanced manufacturing, while bringing their unique advantages, such as recyclability and self-healing to a wide range of applications. Despite many dynamic
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activities, ensuring ethical data collection, conduct management and analysis, and report on performance expectations and external funding outcomes through structured annual and final reporting over
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contaminants. He/she is required to perform the followings: • Lead experimental research on thin-film composite (TFC) membranes, with emphasis on polyamide interfacial polymerization control, nanoscale structure
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of modular floating structures. Optimize designs for dynamic environmental conditions (e.g., waves, tides, currents). Finite Element and Structural Modeling: Develop and implement finite element models
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computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions. 2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure
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to optimize the design and performance of floating breakwaters. Develop models for stability assessment, structural integrity, and dynamic response of floating systems. 3. Connector Design Design and analyze
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machine learning and AI techniques to improve prediction of contaminant transport, sediment dynamics, and ecosystem exposure in complex fjord environments. The research will benefit from extensive
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30th April 2026 Languages English English English The Faculty of Technology, Natural Sciences and Maritime Sciences have a vacancy for a position as PhD Research Fellow in Systems Engineering Apply
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complementary biophysical assays on G-quadruplex- and i-Motif-forming DNA/RNA sequences to investigate their structural equilibrium, dynamics, and ligand binding interactome in vitro and in the intracellular
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, recognizing our continued commitment to promoting equality for women in science and engineering. Our Faculty offers exceptional research facilities in fluid dynamics, structures, and their interactions