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15 Jul 2026 Job Information Organisation/Company Graz University of Technology Department Institute of Electron Microscopy and Nanoanalysis Research Field Biological sciences Researcher Profile
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the metroplex. Minimum Education and Experience Ph.D in a related field. Preferred Education and Experience A PhD in engineering with an emphasis in real-time optimization (e.g., extremum seeking) for dynamic
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. The postdoc positions is for two years each. The starting date is negotiable but should preferably be 01.11.2026. Job requirements PhD in Chemistry, Physics, Materials Science, or a related discipline. Strong
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· Ph.D. degree in Computer Science, Electrical and Computer Engineering, Computational Biology, Bioinformatics, Statistics, Mathematics, Biophysics, Physics, Chemistry, Biology or related fields. · PhD
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Luxembourg Institute of Science and Technology (LIST) | Luxembourg, | Luxembourg | about 2 months ago
Your profile described below? Are you our future colleague? Apply now! Education You hold a PhD in Environmental engineering, chemical engineering, process engineering, or a closely related field. You
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encouraged to apply. We are interested in candidates who have an interest in: *Advanced Manufacturing and Integration of Scalable Structures *Soft and Living Materials *Natural and Engineered Materials
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small team, you will be developing the Raman sensor technology of the future. Information The successful candidate will be in charge of developing the sensor technology, in collaboration with a PhD
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
the start date, a PhD in Data Science, Computer Science, Electrical Engineering, Electrical and Computer Engineering, or a closely related field. The applicant’s research should focus on machine learning
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relationships in molecular solids, porous materials, pharmaceuticals, organic materials, and energy-related materials. The successful candidate must hold a PhD in Chemistry, Materials Science, Chemical
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, spatial and hydrologic modeling, statistical analysis, high-impact technical publishing, and collaborative proposal development. In support of NRRI’s mission to deliver applied science and sustainable