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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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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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The Child and adolescent Health Impacts of Learning Indoor environments under net zero (CHILI) Hub is a program funded by the MRC and NIHR, the goal of which is to understand the health effects we
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transmission of data: key elements in assessing the environmental impact of IT systems. You can extend these data flow diagrams with the expected energy consumption so different design variants can be considered
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Crane Ltd, a world-renowned engineering technology leader. Why Join This PhD? Impact the Future of Clean Energy: Develop next-generation mechanical seals for high-pressure hydrogen systems—key
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risk assessment research, including assessing potential impact caused by flooding, evaluating the effectiveness of various interventions for flood risk reduction, and quantifying flood risk under
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which intranasal oxytocin affects brain function. Demonstrators are expected to spend 144 hours per annum on education activities as Graduate Teaching Assistants (GTAs) (e.g., leading seminars and
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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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into this material and support tailoring its properties. For this, you will: Contribute to method development for ultra-fast MLIPs (Xie et al., npj Comput. Mater., 2023) Develop realistic MD simulation protocols