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Collaborative Doctoral Project (PhD Position) - AI-guided design of scaffold-free DNA nanostructures
degree of independence and commitment Experience with machine learning and high-performance computing is advantageous, but not necessary Our Offer: We work on the very latest issues that impact our society
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the Institute of Advanced Simulation – Materials Data Science and Informatics (IAS-9) and the Institute of Energy Materials and Devices – Structure and Function of Materials (IMD-1) to establish a data-driven
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-based spatio-temporal interpolation methods • Geophysical interpretation and analysis of the results and impact assessment of past and projected future changes along the coast • Literature research
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PhD Position - Organic Electrosynthesis: monitoring of reaction transients with real-time techniques
difficult cutting-edge but rewarding multidisciplinary project related to the investigation of electrode-electrolyte interfaces Our Offer: We work on the very latest issues that impact our society and are
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conducts research on the application and the impact of digital technologies like DLT/Blockchain, Digital Identities, and Machine Learning/AI 5G on organisations from both the private and public sectors
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- 22:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 1015--1-4171 Is the Job related
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Climate and Energy Policy
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that is increasing access to excellent higher education. We advance discovery of public value and positively impact the health, culture, education, and economy of the community we serve. UTEP enrolls
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-of-concept applications in real-world industrial cases such at GreenLab and Kalundborg, ensuring both scientific impact and industrial relevance. Responsibilities and qualifications The project involves
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