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English PhD Research Fellow in Soft Matter Apply for this job See advertisement About the position Position as PhD Research Fellow in chemistry/physical chemistry available at Department of Chemistry. The
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project description to be attached to the application for admission to the doctoral program. For more information, please see our website https://www.med.uio.no/english/research/phd/index.html Starting date
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, computationally expensive, model simulations. This experimental design process is envisioned to update iteratively as new data become available to optimally infer surface fluxes across the landscape. The work will
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Diego, USA). By bridging experimental neurophysiology with advanced algorithmic design, we aim to significantly enhance the understanding of high-dimensional neural activity patterns. The successful
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experimentation and interdisciplinary research across the social sciences, humanities, environmental sciences, and arts. The PhD project, responsibilities and research methods The PhD project and responsibilities
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are offered by the position, such as to be engaged with experimental partners and external collaborators and attend international conferences and workshops. The project will support research visits and joint
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actively driven surfaces. Specifically, the projects aim to uncover the fundamental physical principles that govern the coupling between active surfaces and their surrounding fluid environment, and to use
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and targeted, computationally expensive, model simulations. This experimental design process is envisioned to update iteratively as new data become available to optimally infer surface fluxes across
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) . The section engages in theoretical, experimental and numerical fluid mechanics. This includes technology for the green transition, marine hydrodynamics, hydrodynamic waves, and continuum mechanics. This project
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the offer, initially planned for November 2026. The PhD candidate is expected to participate in simulation and experimental activities related to autonomous spacecraft systems and validation frameworks