63 molecular-modeling-or-molecular-dynamic-simulation Postdoctoral positions in Switzerland
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The Biozentrum of the University of Basel one of the world's leading life sciences institutes. With 32 groups and 500 employees, we are a dynamic and international research community that has
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pneumoniae and Acinetobacter baumannii. You will be working in a trans-national research consortium including experts in structure-based modelling, structure biology and chemistry. PhD in Molecular Biology
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modelling, structure biology and chemistry. Your profile PhD in Molecular Biology, Microbiology, Biochemistry or Structural Biology with research experience in any of these areas. You are highly motivated
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biology to create next-generation disease models. In collaboration with ETH Zürich (Prof. C. Halin) and the University of Bern (Prof. C. Bourquin), this project aims to advance understanding of the human
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its own signal transduction pathways. You will be working in a dynamic team of researchers with broad expertise in molecular biology, microbiology and infection biology and you will be interacting with
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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 bottom-up synthesis. You will
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of the project is to elucidate molecular intra- and extracellular mechanisms of signaling modulating myeloid cells' immune responses. The project is supported by Innosuisse and has a translational goal aiming to
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culture experiments (in vitro), followed by experiments using murine models (in vivo ). Your profile • You obtained a PhD degree in cell biology (or equivalent) in the past 12 months and have a strong
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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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welds. Modelling and simulation: development of a physics-based simulation framework (e.g., phase-field modelling) to predict hydrogen-assisted crack growth and long-term mechanical integrity of steels