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/264ffa19ca70e3ec41032fe6a4802932b5eda4e6.pdf https://ieeexplore.ieee.org/document/10068193 Job Specifications For PhD applicants: Excellent Master’s degree (or equivalent) in computer science, engineering, or related disciplines (typically
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closely linked to a related opening at IMD-1 at Forschungszentrum Jülich within the same project consortium: https://www.fz-juelich.de/en/careers/jobs/2025-361 Please feel free to apply for both available
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requirements: Candidates must have at the date of application a doctoral degree (PhD) in Mechanical Engineering, or related areas. It is required for contractualization, proof of academic qualifications
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
, and create personal and professional sustainability. We optimize our partnership with the UNC Health System through close collaboration and commitment to service. OUR VISION Our vision is to be
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. Target start date is January 2026. Appointment Start Date: January 2026 Group or Departmental Website: https://woods.stanford.edu/ (link is external) https://sustainability-accelerator.stanford.edu/ (link
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industry. Our photonics research lab has set modern tools for the design, testing, and optimization of photonic circuits. It is open for collaboration with researchers with a background in basic research
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, both verbal and written, are required. Key duties: Successful candidate is expected to: Develop and optimize lipid extraction protocols Conduct lipid conversion into biodiesel Analyze lipid profiles and
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prototype database of polymorphous materials. Contribute to the development of a Fortran-based HPC code. Implement routines for temperature-dependent optical and transport properties. Optimize workflows
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: 281099154 Postdoctoral Research Associate D-26-ENE-00008 | Research | Andlinger Center for Energy and the Environment The Energy Systems Analysis Group (https://acee.princeton.edu/research/energy-systems
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-off companies. CONTEXT AND MISSION We are seeking a postdoc to join the Quantum Machine Learning team (QML-CVC) in beautiful Barcelona. The QML-CVC team (https://qml.cvc.uab.es /) is part of