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characterization. Project background The highly interdisciplinary project is about the development, characterization, modeling, and application of micro-and nanoscale ultrasound contrast agents for molecular imaging
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noise. In this position, you will further develop our numerical simulations for outdoor sound propagation. You advance our existing simulation platform to consider atmospheric turbulence effects and make
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We offer you The Yuping Li lab is a starting group, aiming to build an international team of dynamic and collaborative scientists. We committed to create an equal and inclusive work atmosphere and
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of strongly correlated electron systems on surfaces. A particular focus is placed on molecular spin systems, where you can harness quantum correlations of many-body spin systems, enabled by atomically precise
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. • Experience in routine molecular biology techniques (DNA/RNA/Protein extraction, cloning and Q-PCR) and/or in transcriptomics/proteomics is a strong asset. • Excellent communication, writing and presentation
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thinking with renewable energy community planning, developing methodological innovations that bridge quantitative modeling and qualitative approaches. Your tasks Develop and apply optimization and simulation
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, advanced materials, and innovative concrete strengthening solutions. Our work combines experimental investigations, analytical modelling, and numerical simulations to develop and validate novel reinforcement
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partners from industry, academia, and national labs to translate real-world needs into scientific or technical questions. Working independently or with other scientific staff to deploy our simulation
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, analytical modelling, and numerical simulations to develop and validate novel reinforcement systems. This position is part of an Innosuisse-funded collaborative project with industry partners, focusing
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/human-resources/en/basic-starting-salary-of-doctoral-assistants-and-postdocs/ ). Opportunity to perform state-of-the-art research in one of the most dynamic scientific institutions in Europe. Opportunity