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PhD Research Fellowships: Artificial Intelligence Adoption, Sustainable Finance, and Twin Transition
artificial intelligence(AI) on product process and environmental innovation 2) sustainable finance 3) twin transition. Depending on the department`s needs, and the candidate`s competence and preferences
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available in the further tabs (e.g. “Application requirements”). Programme Description The Käte Hamburger Research Centre “Dis:connectivity in processes of globalisation” (global dis:connect) at the Ludwig
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11th May 2025 Languages English English English LEAD AI Postdoctoral Research Fellow position in endocrinology and digital health Apply for this job See advertisement UiB - Knowledge that shapes
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. This will be clarified in the recruitment process. Research topic The person hired will be affiliated with the field of history didactics at the department. The PhD project must be rooted in history didactics
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-creative governance solutions and power-sharing, requiring dialogue between public and private actors to ensure democratic and sustainable processes. This is particularly important as the sector must address
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Fellowships are defined and awarded on an individual basis. Each fellowship announcement will indicate the specific qualification requirements and terms of visit. What can be funded? The current offers
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technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models, and algorithms that integrate general and domainspecific knowledge with data
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of public law wih direct links to international law. Of particular interest are applicants who are interested in the Asia-Pacific region; technology and digital economy; sustainable development; cybersecurity
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knowledge graphs, rules, and process understanding, with implications across sectors from ecology to infrastructure. 4. Theme 4 (“Communities”): Green and Resilient Communities and Entrepreneurship
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and to produce high quality outputs. To be successful in this position, you will have: Evidence of substantial experience in point-of-care diagnostics, specifically in the area of developing highly