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PhD position: Global soil mapping with process-informed machine learning Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline
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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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and understanding of complex biological systems and biodiversity. You will get the opportunity to learn about both simple and complex biological models, computer programming, data visualisation, and
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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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predictive theory for rapidly evolving viruses. You will work at the interface of theoretical physics, stochastic processes, statistical inference, and epidemiology, with SARS-CoV-2 and influenza as key case
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in the intellectual life of the research group, including seminars, reading groups, and collaborative writing processes. Where to apply Website https://www.academictransfer.com/en/jobs/359450/phd
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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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groups, and collaborative writing processes. Your qualities The ideal candidate for this PhD position must have: a Master’s degree in a relevant scientific discipline in the Humanities or Social Sciences
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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
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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