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of developing a computational model to simulate hydro-sedimentary dynamics and morphology between restored patches to explore conditions favourable for restoration. Validated with data on vegetation cover and
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. The within-host model will be linked to: a clinical trial simulation, an essential tool in drug development, to inform the clinical trial design of novel treatments, an individual-based transmission model
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people with lived experience. Experience delivering seminars or training to diverse audiences. Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience
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University application, you may submit a copy of this advertisement One-page personal statement which demonstrates the applicant’s Motivation for choosing a PhD project examining post-quantum secure e
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, you may submit a copy of this advertisement One-page personal statement which demonstrates the applicant’s relevant research experience motivation for choosing a PhD project examining multi-modal
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but not mandatory). A strong interest in materials simulation, quantum materials, and condensed matter physics. Experience with Python. Fluency in English is required. Finnish language is not required
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can be varied. Crucially, the models we derive will be validated by real-world measurements to ensure our simulation environments are realistic and scalable to more complex radar networks. This will
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digital twins, and life cycle assessment (LCA). A central component of the research will be the development of digital twins to simulate the entire production process, from raw materials to final product
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control algorithms for whole system efficiency optimisation. Design and simulate power management circuits using tools like SPICE or MATLAB/Simulink. Prototype and test circuits with real energy harvesters
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water basins across HMA. We will simulate future changes in temperature, precipitation, and snowmelt using climate projection models. These projections, combined with hydrological modelling, will allow us