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Field
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, and computational modelling. Depending on the interests of the successful candidate, different research directions, from quantitative genetics to molecular biology and computational modelling
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consists of a diverse set of people from different nationalities, backgrounds, and fields. As a PhD student working with us, you receive the benefits of support in career development, networking
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criteria Strong skills in relevant programming languages, particularly python Knowledge of, and experience from, the maritime industry is an advantage Knowledge of generative models, reinforcement learning
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programming languages, particularly python Knowledge of, and experience from, the maritime industry is an advantage Knowledge of generative models, reinforcement learning, or geometric deep learning. Experience
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and no later than autumn 2026. Experience with Python programming or a comparable programming language. You must have a strong academic background from your previous studies and have an average grade
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to 1D stress-strain paths allowing for injection of non-wetting fluid to test the effect of calcite dissolution on breakthrough. Samples for the oedometric test will be prepared with different pore-fluid
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attend in-person international meetings. You will be part of a leading cohort of early-career researchers studying different aspects of the impacts of climate extremes in Europe, from public health
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modelling, including experience in using a programming language suitable for geospatial data analysis (e.g., R, Python). Experience in applying remote sensing methods, for instance in ecological, geophysical
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on creating an inclusive and bottom-up driven research environment. Our workplace consists of a diverse set of people from different nationalities, backgrounds and fields. As a PhD student working
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an integrated interdisciplinary PhD programme that consists of three main components: 1. An interdisciplinary research project that combines concepts and methods from different fields. 2. A substantial programme