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English skills, written and spoken High motivation and creativity, as well as a result-oriented, structured and independent working attitude Willingness and ability to work in a diverse, interdisciplinary
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-generation combinatorial editing tools and applying them to study genetic interactions. As all our projects integrate high-throughput experiments with computational analyses we are particularly interested in
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design based on stakeholder interaction model-based analysis of various technology and policy solutions participation in project meetings presentation of results at international conferences publication
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research at GFZ into the future. Your responsibilities: Conducting excellent scientific research - furthering understanding of near-Earth space environment and particle interactions using novel approaches
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folding, gene regulation, drug–target interactions, and multi-scale biomedical modeling. 3. Deep Learning on Graphs with Higher-Order Structures This project develops neural architectures capable
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to the definition and implementation of use cases related to heat pumps vs. district heating and their interaction with other energy carriers (electricity, gas, hydrogen). Collaborating with the senior research
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creative individuals who are able to leverage the latest experimental and computational technology to develop new research directions reflecting their own interests related to brain development. The lab and
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ERC-funded postdoctoral fellow in theoretical developmental biology, using tools from applied mathematics, biophysics, and machine learning A talented and creative researcher is sought to take part
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iNANO at Aarhus University is seeking a postdoctoral fellow for the Novo Nordisk Foundation CO2 R...
research environment at the forefront of microbial electrosynthesis. Workday with daily contact with many different people in an international and creative research environment. A professional, but informal
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discovered the first CYP3A5-selective inhibitor and its structural basis (J Am Chem Soc 143:18467, 2021). Our goal is to understand nuclear receptor-regulated transcription networks, enzyme-drug interactions