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, to decrease our dependence on fossil fuels. Energy Geostructures (EGs) represent an effective means to meet the world request of less dependence on unsustainable resources by being designed as dual-purpose
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/geophysics, or physical acoustics. Applicants from biology or related fields with solid quantitative and programming skills are also welcome. Experience with signal analysis and/or machine learning will be
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contribute to the design and development of Machine Vision approaches for the quantitative analysis and phenotyping of agricultural systems: Training/Development of computational models for the quantitative
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of computational linguistics; d) experience in statistical analysis and in the use of dedicated software (e.g. R); e) experience with programming software (e.g. Python). Selection process Together
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groundbreaking discoveries and be part of an innovative team! The project involves both wet lab experiments and a significant focus on image analysis Where to apply E-mail simone.dusseljee@radboudumc.nl
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methodology and software for Probabilistic Resilience Analysis (PRA) of major hazard plants and nearby communities under NaTech multi-hazard accidents. Define resilience indicators and recovery functions based
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animal health but also environmental and biotechnological processes. Targeted control of the taxonomic and functional microbiome composition by microbial effectors such as antibiotics, antimicrobial
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failures) Develop modelling theories, quantitative methods and methodology as part of the disruption analysis and impact assessment affecting safety and security Apply the methodology to an industrial system
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the European Green Deal, Sendai Frame-work, and UN Sustainable Development Goals. DCs will benefit from an immersive training structure comprising cross-sectoral secondments, workshops, and summer schools