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suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme . Good oral and written presentation skills in English. Experience with experimental work within
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PhD Position on Machine Learning Detection of Positive Tipping Points in the Clean Energy Transition
. This PhD will develop a machine learning module to detect early warning signals of positive tipping points from techno-economic data, helping policymakers design adaptive strategies for rapid and
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quantitative analysis. Interest in agent-based modelling, network analysis, computational economics, systems thinking, and climate-related challenges. Proficiency in at least one programming language used
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suitable for a PhD education. You must meet the requirements for admission to the faculty's Doctoral Programme . Good oral and written presentation skills in English. Experience with experimental work within
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! Job description This 4-year fully funded PhD position is part of the ERC Consolidator project “Systemic physical climate risk in complex adaptive economies” (SPHINX). The SPHINX-research program is made
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The Ministerial Order on the PhD programme (2013) and the Faculty’s rules on achieving the degree. The PhD student is expected to be affiliated to the graduate programme in pharmaceutical sciences, Drug Research
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of Biology, E-mail: lellgaard@bio.ku.dk, Direct Phone: +4532351725, website: https://www1.bio.ku.dk/english/research/bms/pbg/le/ . The PhD programme Depending of your level of education, you can undertake the
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7 Nov 2025 Job Information Organisation/Company University Hospital Jena Department MSCA DN MenoBrain Research Field Medical sciences Biological sciences Neurosciences Computer science Researcher
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Stage Researcher (R1) Positions PhD Positions Country Germany Application Deadline 30 Nov 2025 - 18:00 (Europe/Berlin) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Offer Starting Date
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by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are seeking a highly motivated PhD candidate with a background in bioinformatics to join