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, 2028 730 days Advanced microstructural characterization: Operation and analysis using advanced analytical techniques (GISAXS, GIWAXS, TEM, SCLC experiments) to correlate the evolution
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capability. Comprehensive education: Enjoy numerous opportunities for scientific training, skills development and problem solving. Diverse research areas: Work on numerical models, analyzing large data sets
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specifically. We encourage development and internal mobility within our organisation. Our recruitment and selection policy sets out the conditions that apply specifically to you as a (former) employee. If you
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inverse problems, as well as the development of numerical methods that can eventually be applied to large-scale wave-imaging problems. The PhD project will have a strong mathematical component. You will
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2 PhD Positions in Computational Modelling of Biological Membranes and Adaptive Functional Materials
. Opportunities for international collaborations, research visits and conference participation. Scientific independence, individual supervision and excellent career development opportunities Application
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the development of tools to improve end-user education and detection of social engineering attempts generated by AI systems, including emails, voice messages, online websites, and images, as well as methods
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of the sector, it contributes a staggering £142bn (GVA) to the UK economy each year. There is a growing shift in the sector towards the rapid development of smarter, greener, and more personalised products. This
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the contract. More information is available on: Workplan and the objectives to achieve: The work to be carried out consists of the development and experimental validation of nonlinear and hybrid control
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. Hoogwater) and UMO (Prof. Bockhorn, PD Dr. Meyer), including shared patient cohorts, a joint PDAC database, and existing data and material transfer agreements. Your tasks Development and optimization
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framework, covering a wide spectrum from RANS approaches to high-fidelity LES with automatic mesh adaptation. In parallel, recent work has led to the development of multi-fidelity modeling strategies