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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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part of the Software Technology group . Research in this group focuses on using and improving functional programming languages such as Haskell and Agda, in particular for parallel computing, software
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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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on musical memory. There is a class of modular cognitive models of music processing that include a ‘musical lexicon’ as one of the cognitive modules. This ‘musical lexicon’ determines for a given listener what
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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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loss occurs at marine-terminating glaciers, where ice flows from the interior of the ice sheet into fjords and the ocean. At these glacier termini, complex processes such as submarine melting, ice
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integration of minoritized groups. Drawing on migration studies, integration is conceptualized as a multidimensional, two-way process involving both minoritized and majoritized groups across multiple levels