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of biomolecules which can only be successfully tackled by employing a variety of different theoretical methods. In this respect, this joint graduate college brings together the expertise in analytical theory from
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interdisciplinary by nature combining elements of its contributing sciences to solve challenging problems in a data-based, empirical approach. The PhD programme in Data Science (PDS) targets PhD students that work in
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studies and interactive AI systems. This position will be funded based on an initial 2-year contract + 2 years extension. The key idea is to apply theories, models, and methods from psychology to improve
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, particularly in the context of large-scale critical infrastructures for communication and computing. They will develop and validate AI methods that are safe by respecting system boundaries and are prompt in
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a focus on visual language grounding, in other words, the linking of elements of natural language (words, phrases, or sentences) to visual inputs (such as images or video) in a meaningful way. The
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EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme Yes Description/content The key elements of life, such as carbon, oxygen and nitrogen, are continuously
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totalling approximately $47,000 per annum tax exempt (2025 rate). A four year Project Expense and Development package of $13,000 per annum. A 60 day Industry Engagement component with the industry partner. A
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year scholarship package totalling approximately $47,000 per annum tax exempt (2025 rate) A four year Project Expense and Development package of $13,000 per annum A 60 day Industry Engagement component
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researchers. Doctoral candidates at the MGSE are provided with thorough training in advanced methods in economics. They are taken to the frontier of state-of-the-art research. Members are integrated into a
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machine learning methods to investigate how ecosystem water stress and drought disturbances affect relevant forest ecosystem functioning at various scales. It will enable advanced assessment of forest