151 postdoctoral-position-in-molecular-dynamic-simulation PhD positions in Switzerland
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the Job related to staff position within a Research Infrastructure? No Offer Description PhD position: Computational mechanics The Computational Mechanics Group in the Department of Mechanical and
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100%, Zurich, fixed-term The Computational Mechanics Group in the Department of Mechanical and Process Engineering of ETH Zurich is seeking one doctoral student. The position is associated to a
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description How does life emerge from molecules and cells? This is
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. For more information, visit msrl.ethz.ch. Job description This position is part of the GREENS project, a Marie Skłodowska-Curie Doctoral Network offering the opportunity to pursue a PhD across various
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Your position Soil is a critical storage pool for carbon in Earth's surface. How carbon cycling will change in soils as a result of anthropogenic climate forcing remains unclear, in part because
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-troversial, particularly in the setting of "low grade" DS. Currently, DS is measured based on static radiographs, which do not capture the dynamic nature of this instability. Basic data sets on a dynamic
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD position 3D Casting of Non-Photocurable
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100%, Zurich, fixed-term We are offering a fully-funded position for a motivated and talented PhD candidate to join the Durability of Engineering Materials research group at ETH Zurich, Switzerland
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position within a Research Infrastructure? No Offer Description PhD Position in Polymer Synthesis TLC group at ETH is looking for dedicated and hard-working synthetic chemists who would like to research
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Zürich (pd|z) at ETH Zurich a position in the field of design for additive manufacturing Project background Additive manufacturing (AM) offers unique advantages to optimally combine economic and