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PhD: Land-surface modelling of mountain hydrological processes in the Himalaya Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application
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background in hydrology, earth system science, atmospheric science, agroecology or other appropriate fields. You will work on the project “Physics-informed AI-modelling of land surface processes in a global
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motivated and collaborative researcher with: a Master’s degree in Bioinformatics, Data Science, Statistics, Computational Biology, Epidemiology, Neuroscience, or a related field; experience in programming and
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medicine, microbiology, bioinformatics, or a related field. Strong interest in (molecular) microbiology and antimicrobial resistance. Quick learner who thrives in a multidisciplinary research environment
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techniques); giving mathematical proofs of their correctness and efficiency; building state-of-the-art implementations of these new techniques (e.g., by leveraging data-parallel functional array programming
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-scale processes like swelling and shrinkage generate microfractures and facilitate clay particle movement? Can we develop robust upscaling approaches from pore to field scale that enable reliable
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processes using temperature loggers together with existing frost-cracking and thermal-stress models. Measuring sediment supply from rockfalls and debris-flow sediment movement using UAV surveys carried out
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processes that shape outcomes during engagement. Integrating psychological and sociological perspectives, Care2Act will apply a novel interactionist approach to activism and mental health, employing
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we seek new forms of ceramic durability through both historical and recent production processes. You will explore, for instance, what climate-just harvesting and processing of soils may look like in
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been much research about the benefits and outcomes of co-creation and co-design processes for nature-based solutions and the importance of engaging with a multitude of actors to ensure just processes and