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the Chinese World Heritage Fund. The postholder is a highly motivated and ambitious PDRA for the Project, China TRACER (Technological Processes and Social Organisation in Early Northern China). Based at the
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. Additionally, the LCPO has pioneered green chemistry approaches to polymer syntheses and developed processes to create novel bio-based polymers, with built-in features to control their properties and end-of-life
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. Empa is a research institution of the ETH Domain. For an applied research project, we are seeking a highly motivated Postdoc interested in the development of a hybrid AM manufacturing process for silicon
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be used to characterize and diagnose misophonia. The models will also be used to develop sound processing tools to remove and de-emphasize auditory triggers (e.g., with headphones) and improve
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, atomic force microscopy. Proven ability to develop new semiconductor process steps/flows leading to significantly improved device performance and/or enabling new device types. Excellent written and oral communication
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Surgery Stanford Departments and Centers: Surgery, General Surgery Postdoc Appointment Term: 1 year Appointment Start Date: July 1, 2026 Group or Departmental Website: https://med.stanford.edu/gensurg
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conditions. 2. Must be able to work at a computer for extended periods for data analysis, and manuscript preparation. 3. May require routine work with biological samples, including recombinant proteins and
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, parents, experts, inspectors, quality assurance monitors, etc.) • Written and oral communication in English within the international team • Advanced use of Microsoft Office, Sharepoint, and IEA WinW3S
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/ Position Qualifications Required Experience Modeling experience demonstrated by publications in the field Evidence of strong written and oral communication skills. Required Education Ph.D. in statistics
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existing network condition and operation data to predict water pipeline condition analyse and combine different data sources, such as pipe burst records, acoustic inspection data, and flow and pressure data