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curious to deliver work that matters, your journey starts here! Innovation. Interdisciplinary collaboration. Complex problem solving. In Carnegie Mellon University’s Department of Mechanical Engineering
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first experiments of the future quantum-computer technology that is orders of magnitude more efficient than existing quantum processors. Join us in shaping the future! As a result of five ERC grants
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postdoctoral researcher, you will use various techniques to investigate fiber-reinforced structures in nature (i.e., fungi), including additive manufacturing, computer simulations, materials testing, and
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“Geosystems”), we are looking for a: Reference Number 10647 The central research topic of Section 4.2 aims at understanding the physical processes that control dynamics and mechanical properties in the Earth's
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and quantify the coupled mechanical, hydraulic and chemical processes occurring across the lithosphere, from slow creep to rapid earthquake slip, and determine the role played by fluids on deep and
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Job Description Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Computer Sciences, Engineering, Neuroscience, Psychology or a closely related
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, computational biology, and haematological cancer? We have an exciting opportunity for a Senior Postdoctoral Researcher to be a part of a collaborative interdisciplinary initiative at the Ludwig Institute
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 21 days ago
candidates are being sought to join a basic and translational research program focused on the immunology of T cell-mediated autoimmune disease; specifically type 1 diabetes (T1D). Our group is part of
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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establishments (Université Côte d'Azur, CNRS, INRAE, INSERM ...), but also with the regiona economic players. With a presence in the fields of computational neuroscience and biology, data science and modeling