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Field
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of waterlogged conditions, peatlands are projected to be particularly impacted by future climate change, through changes in both temperature and precipitation. Bioclimatic envelope models predict significant loss
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analytics (statistical models, machine learning, uncertainty quantification) to monitor and predict cycling travel conditions from various perspectives (safety, crowding, travel time, comfort, etc
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available sensor and meter infrastructure, affordable computational resources, and advanced modeling algorithms. MPCs excel in handling constrained optimizations and new operational conditions, whereas RLs
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and scalar fluxes across the air-sea interface is crucial for a number of environmental challenges, including weather, climate and sea state forecasting. The Air-Sea Fluxes group at the Institute
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-time employment, you can choose between 30 or 41 days of annual leave instead of the statutory 20. Additional employment conditions Work and science require good employment practices. Radboud
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their subsequent simultaneous analysis. This project aims at overcoming these challenges to reliably measure atmospheric levels of PFASs and model their respective emission strengths in Switzerland
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focus on synthetic biology, biochemistry and/or chemistry. • Practical experience in protein engineering (structural and sequence design), bacterial production (S1 lab conditions, E. coli), protein
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that lead to lower infrastructure demand in the long run and reveal pathways to turning points in infrastructure use through a systemic modelling approach. Essential activities within your project will be
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of these models and quickly detect any decline or unexpected behaviour. The system will be designed to recognise when it encounters unfamiliar conditions—whether these involve unusual appearances, shapes
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of novel AM materials on corrosion response of key component and develop a model to predict their behaviour. To address the goals set for tackling international climate change, the power sector needs