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Field
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to promoting equality for women in science and engineering. Our Faculty offers exceptional research facilities in fluid dynamics, structures, and their interactions. This includes a world-class fluid dynamics
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structures for efficient CO2-capture and storage. The postdoc will use atomistic modelling with both force field and ab initio methods to study various systems of surface adsorbed aromatic macrocycles or also
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dynamical structure directly from time-series data. This includes methodological work on nonlinear state-space reconstruction, system identification, reservoir computing and related recurrent architectures
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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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30th April 2026 Languages English Norsk Bokmål English English PhD Fellowship in Digital Health Services and Service Innovation Apply for this job See advertisement Job description The University
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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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career within or beyond academia. To support a strategic and well-structured PhD trajectory, the PhD fellow will be required to develop a career and competence development plan in dialogue with
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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