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Field
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other at policy-relevant scales, while ‘top-down’ estimates, based on atmospheric measurements and modelling, are hampered by large natural fluxes of CO2 between the terrestrial biosphere and the
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-world error patterns: we therefore aim to go beyond the traditional depolarizing error model generally accepted in the quantum coding community. One therefore wishes to adapt existing decoding algorithms
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near-instantaneous proliferation of comb lines and new regimes of spectral control. Project background This project will combine advanced numerical modeling with laboratory demonstrations to explore
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-scale electrode modelling and numerical upscaling techniques to the continuum scale will be applied. Finally, the aim is to develop a cell scale model using a macro-homogeneous description of the porous
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understand, explain and advance society and environment we live in. Your role Conduct research and prepare a doctoral thesis in metabolic network modelling and computational epigenomics Develop novel methods
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skills. Preferred Qualifications: Prior research experience in computational biology, mathematical modeling, or immunology. Familiarity with numerical methods, parameter estimation, and data visualization
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No 101073106) The main objective of the GECKO project is to bridge the existing gap between the CAD and the computational models (CAE) and integrate them within the industrial workflow. This will imply
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computational and data-driven approaches, focusing on topics such as plant carbon transport, microbial systems, or circular bioprocesses. You will contribute to developing and applying novel modeling strategies
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. You’ll gain experience in spatial analysis, fieldwork, soil and vegetation monitoring, and potentially numerical modelling. The project is a close collaboration with its sponsor, the Environment Agency
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of numerical ice shelf models has recently been developed to study, among other things, the realistic behaviour of the dynamics of a floe assembly, based on a granular approach. The purpose