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-be-completed PhD (typically completed within the last 0-5 years) in chemistry, chemical engineering, materials science or related field. Knowledge and hands-on experience in the following areas
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), in collaboration with Argonne researchers and external partners from industry and academia. Position Requirements Recent or soon-to-be-completed PhD (typically completed within the last 0-5 years) in
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materials Operational knowledge of laboratory equipment for nondestructive testing of concrete materials Physical Requirements: Able to lift 50 lb load Qualifications Required Education and Experience PhD in
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. About You You will have a PhD in computer science, engineering, mathematics, or similar, strong programming skills, and experience with a contemporary machine-learning framework such as PyTorch. You will
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Research. Its’ one goal is to improve the health of all by advancing knowledge of life and disease, innovation in treatment, and public health research. The EpiAgeing team where the PhD candidate will be
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 3 hours ago
knowledge within their fields. Postdocs are crucial members of our scientific research workforce, contributors to our research outputs and an important reason why Carolina is one of the leading public
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or deficit of sand and mud, which requires sediment management. The knowledge and tools needed for this pose profound scientific challenges. Your job The aim of the WadSED project external link is to
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Researcher (R3) Positions PhD Positions Application Deadline 15 Sep 2026 - 09:00 (Europe/Dublin) Country Ireland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research
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, Professor Shouhuai Xu. This position will work on challenging but exciting space cybersecurity research problems, collaborate with PhD students who work on the same or related problems, mentor junior student
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breeding program. This requires a Ph.D. with excellent knowledge and skills in drones / UAV / UAS data collection, processing, statistical analyses, AI (machine learning, deep learning) and subsequent