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Field
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System and beyond. The new climate model, OASIS, aims to overcome the limitations of current frameworks and enable unprecedented simulations of planetary environments under a wide range of conditions. The
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into kinetic models and computation fluid dynamics-based fire behavior simulators. Ultimately, this new knowledge will guide the implementation of new characterizations of live fuels in fire behavior models and
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research project with Principal Investigator (PI), Co-PI and the research team members to develop an onboard microgrid simulation model with energy management. Work with research team to deliver the work
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planet. This work will build upon our previous work and shall incorporate new disc models for N-body simulations of planet formation. The work is carried out in collaboration with the PhD fellow, who is
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, simulate, and analyse ecosystem service models using GIS, remote sensing, and field data. Manage, process, and analyse ecological and socio-economic datasets to develop and calibrate high-accuracy ecosystem
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reconstruction Experience of computational modelling and simulatxion Knowledge of statistical and/or machine learning methods e.g. for 3D imaging data for applications such as segmentation, registration or lesion
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research team members to ensure all project deliverables are met. Identify, simulate, and analyse ecosystem service models using GIS, remote sensing, and field data. Manage, process, and analyse ecological
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, developing upscaling techniques to build continuum models for biofilm mechanics, running code to simulate biofilms using continuum methods, and interfacing with other team members and experimental
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historically challenging biological processes by developing theory, innovative modeling tools for large-scale biophysical simulations, and computational frameworks for analyzing increasingly large and complex
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available in the electronic platform "Apply UC" under "My Application." VIII.I- Mandatory documents to attach when applying: Curriculum Vitae, duly updated, dated, and signed; Copy of academic