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geospatial workflows on an abstract level, using purpose-driven concepts and conceptual transformations; develop AI and machine learning based technology to automate the description and modeling of data
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providers ensure digital accessibility by 2025, marks a critical step toward reducing these inequalities. However, technology that is not co-designed with affected communities often lacks social acceptance
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gold standard of geo-analytic purposes and questions; collaborate with a technical assistant, another PhD candidate (on geodata source modelling), and a postdoc (on the GeoQA reasoning engine). It is
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PhD position on decadal coastal dune development Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline: 8 September 2025
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hold an MSc degree in Chemical Engineering, Materials Science, Physics or Chemistry. You have a strong interest in topics such as colloids, electrochemistry, transport phenomena, and physical chemistry
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, manufacturing and recycling) technology and consumption patterns (including Circular Economy), and steel qualities/grades. In the project you will work with many stakeholders in the (green) steel value chain, and
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for an independent academic career. Your qualities You hold a Master’s degree in photonics, physics, optics engineering, or a related area. You have proven expertise on and experience with laser and photonic-based
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and probabilistic programming. This exciting new field of research combines knowledge from the machine learning, programming languages, scientific computing, and statistical physics communities
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PhD: Storm Surge Barriers and Adaptation Pathways for Deltas Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline: 12 June