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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Experience Requirements The candidate should have a PhD degree in physics, engineering, applied math, chemistry, materials science or other related areas. Required Qualifications, Competencies, and Experience
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need an individual with the following qualifications: • PhD in Food Science or Engineering, Chemical Engineering or Mechanical Engineering • Sound background in engineering or science with emphasis
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significant period of growth and now has over 150 members, with 18 academics (including 7 full professors) and approximately 120 PhD students and post-doctoral research fellows. The group has excellent
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of Laboratory Medicine and Pathology brings together state-of-the-art technology and highly trained, world renowned personnel to provide comprehensive diagnostic and personalized service to physicians, community
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, ultimately providing scientific guidance for the industrial deployment of sustainable plasma-based waste valorization technologies. WHAT WE ARE LOOKING FOR You have a PhD in Environmental Engineering, Chemical
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. PROFIL : PhD in polymer science, materials science, chemistry, chemical engineering, fertilizer science, or a closely related field. Strong expertise in the design, functionalization, and processing
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in international conferences. Supervise and mentor undergraduate/graduate students. Qualifications & requirements: PhD degree in Chemical Engineering, Process Engineering, Environmental Engineering, or
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. The details of the work plan may be adjusted depending on the profile of the preferred candidate; there is budget for support in technology development. You will work closely with a PhD researcher at the German
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20 Jul 2026 Job Information Organisation/Company Télécom Paris Research Field Computer science » Informatics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application
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gravitational effects on entangled photons for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing