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theoretical and experimental knowledge, methodological and general research skills, and the opportunity to develop your personal strengths. As a member of the structured training program you will benefit from
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(ORR), oxygen evolution reaction (OER), and carbon dioxide (CO₂) reduction. Collaborating with theoretical research groups to guide the design of active site structures through computational modelling
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to publications and other relevant communication Qualifications Relevant university master's degree Good theoretical background in organic chemistry, molecular biology or biotechnology Experience with analytical
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fundamental and applied science in a dynamic and international environment that values teamwork and scientific excellence. We combine theoretical and experimental approaches, with theoretical activities
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Max Planck Institute for the Physics of Complex Systems • | Dresden, Sachsen | Germany | about 21 hours ago
dynamical manipulation of quantum systems. However, the scope of the graduate school extends to various related topics in theoretical and computational chemistry and both theoretical and experimental
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requirement. Strong merits include documented experience in studying enzyme mechanisms employing biophysical or structural approaches. Familiarity with molecular biology, biochemistry, theoretical chemistry and
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chemistry, designing and testing porous composite materials for advanced water remediation. What We Offer: Access to world-class facilities at DTU Nanolab, including cutting-edge electron microscopy
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Computational Chemistry methods to model enzymes and polymers. Designing and optimising novel biodegradable polymers. Integrating novel AI tools into the discovery process for new polymer candidates. Project
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at the candidate or master level, for example, Chemistry, Biology, Geology, Cognitive Science, Educational Psychology, Human-Computer Interaction, Education Sciences, or other relevant programmes that include
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, whose modular nature suggests limitless variability in their structure and chemistry. In a multidisciplinary research project involving the University of Manchester, Oak Ridge National Laboratory and IBM