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possess a PhD/DPhil in Engineering, Computer Science or other related field, (with the possibility to underfill at Grade 6 (£34,982 - £40,855 p.a.) if candidate holds a relevant degree and is working on PhD
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superconducting qubits and millikelvin electronics Did you recently get your PhD in circuit quantum electrodynamics (cQED) and are now looking into taking the full potential of your skills into use for making new
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Khakalo via email (sergei.khakalo@aalto.fi ) with the subject “PhD/Postdoc position in Computational Structural/Solid Mechanics”. In questions related to the recruitment process, please contact our HR unit
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25FA0694 Posting Open Date Posting Close Date Qualifications Minimum Education and Experience This position requires a PhD in civil engineering, mechanical engineering, or related engineering fields
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. The project motivation is based on the current status that, while significant amounts of for example recycled polypropylene and high-density polyethylene are available, their mechanical properties and
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the study of problems in quantum many-body physics through the lens of quantum information and quantum computing? Do you enjoy analyzing complex quantum mechanical systems through a combination of
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 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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, structural sensing and health monitoring, conducting physical experiments, and validation of computational models. Required Qualifications: A successful applicant must have a PhD in Civil Engineering
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-temporally cooperate to result in an emergent macroscopic flow. Besides the immediate applications of the work to soft matter physics, and potentially also to the fracture mechanics of hard materials, yielding
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Biology in Cancer Genomics and Immunology. This position will be involved in the development and/or application of computational approaches to understand the mechanism of cancer development, progression