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Field
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of a new generation of adaptive repair solutions that capitalize on the capabilities of advanced construction materials, including ultra-high performance concrete (UHPC), and sensing systems
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | about 18 hours ago
access to safe, effective, and high-quality medical devices and safe radiation-emitting products. CDRH provides consumers, patients, their caregivers, and providers with understandable and accessible
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Life and Health Sciences Research Institute (ICVS), from the School of Medicine (EM) of the University of Minho | Portugal | 2 months ago
Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number ICVS_BI_2026_023(2) Is the Job related to staff position within a Research Infrastructure
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process can be directed to Prof. Chen-Ting Liao (Liao3[at]IU.edu) Basic Qualifications: • Ph.D. in Physics, Chemistry, Quantum Information Science, Optics, Electrical Engineering, or a related field at the
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academic record plus a high degree of proficiency and motivation for selected research area Have been accepted or have applied for a postdoctoral training at a leading overseas university in a research area
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in communication and information studies. Its communication program ranks among the top four globally and is the best in Asia. Similarly, its information studies program is ranked among the top three
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Position Description The Department of Statistics at Harvard University invites applications for a Postdoctoral Fellow with Professor Pragya Sur. Professor Sur’s lab focuses on research in high
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-envelope phase/offset, balanced homodyne detection; keywords in theory includes: relativistic quantum information science, quantum field theory, quantum optics, quantum fluctuations of the vacuum, Unruh
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high performance computing · Development of reproducible analysis pipelines · Strong time management and organizational skills · Ability to work effectively as a team · Excellent written and oral
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Bayesian inference, data assimilation, inverse modeling, and/or probabilistic machine learning to geoscientific or ecological models is highly desirable. Experience in high performance computing and handling